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Technical Note. Optimization of Parameters for a Damped Oscillator Excited by a Sequence of Random Pulses

Agnieszka Ozga
Archives of Acoustics | 2014 | vol. 39 | No 4 | 645-652 | DOI: 10.2478/aoa-2014-0070
Keywords random pulses oscillator with damping vibroacoustics
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Abstract

The paper is another step in discussion concerning the method of determining the distributions of pulses forcing vibrations of a system. Solving a stochastic problem for systems subjected to random series of pulses requires determining the distribution for a linear oscillator with damping. The goal of the study is to minimize the error issuing from the finite time interval. The applied model of investigations is supposed to answer the question how to select the parameters of a vibrating system so that the difference between the actual distribution of random pulses and that determined from the waveform is as small as possible.
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Authors and Affiliations

Agnieszka Ozga

Application of Neural Network for Testing Selected Specification Parameters of Voltage-Controlled Oscillator

Damian Grzechca Sebastian Temich
International Journal of Electronics and Telecommunications | 2018 | vol. 64 | No 2 | DOI: 10.24425/119371
Keywords specification driven testing voltage-controlled oscillator ring oscillator artificial neural network
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Abstract

In this paper, the application of the Artificial Neural Network (ANN) algorithm has been used for testing selected specification parameters of voltage-controlled oscillator. Today, mixed electronic circuits specification time is an issue. An analog part of Phase Locked Loopis a voltage-controlled oscillator, which is very sensitive to variation of the technology process. Fault model for the integrated circuit voltage control oscillator (VCO) in ring topology is introduced and the before test stage classificatory is designed. In order to reduce testing time and keep the specification accuracy (approximation) on the high level, an artificial neural network has been applied. The features selection process and output coding for specification parameters are described. A number of different ANN have been designed and then compared with real specification of the VCO. The results obtained gives response in short time with high enough accuracy.
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Authors and Affiliations

Damian Grzechca
Sebastian Temich

Minimization of oscillations of the tower crane slewing mechanism in the steady-state mode of trolley movement

Viacheslav Loveikin Yuriy Romasevych Andrii Loveilin Mykola Korobko Anastasia Liashko
Archive of Mechanical Engineering | 2023 | vol. 70 | No 3 | 367-385 | DOI: 10.24425/ame.2023.146847
Keywords crane optimization constraint oscillations control
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Abstract

In the present study, the problem of optimization of the motion mode of the tower crane's slewing mechanism in the steady-state mode of trolley movement is stated and solved. An optimization criterion, which includes the RMS values of the drive torque and the rate of its change over time, is minimized. The optimization is carried out taking into account the drive torque constraints, and under the specified boundary conditions of motion. Three optimization problems at different values of the weight coefficients are solved. In the first problem, priority is given to the drive torque, in the third – to the rate of the drive torque change, and in the second problem, the significance of both components is assumed equal. The optimization problems are nonlinear, thus a VСT-PSO method is applied to solve them. The obtained optimal start-up modes of the crane slewing mechanism eliminate pendulum load oscillations and high-frequency elastic oscillations of the tower. Most of the kinematic, dynamical, and power parameters at different values of the weight coefficients are quite close to each other. It indicates that the optimal modes of motion are significantly influenced by the boundary conditions, optimization parameters, and constraints
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Bibliography

[1] E.M. Abdel-Rahman, A.H. Nayfeh, and Z.N. Masoud. Dynamics and control of cranes: A review. Journal of Vibration and Control, 9(7):863–908, 2003. doi: 10.1177/1077546303009007007.
[2] S.C. Kang and E. Miranda. Physics based model for simulating the dynamics of tower cranes. In 2004 Proceeding of Xth International Conference on Computing in Civil and Building Engineering (ICCCBE), Weimar, Germany, June 2004. doi: 10.25643/bauhaus-universitaet.240.
[3] T. Kuo, Y-C. Chiang, S-Y. Cheng, and S.-C.J. Kang. Oscillation reduction method for fast crane operation. Modular and Offsite Construction (MOC) Summit Proceedings, pages 388–395, 2015. doi: 10.29173/mocs159.
[4] G. Sun and M. Kleeberger. Dynamic responses of hydraulic mobile crane with consideration of the drive system. Mechanism and Machine Theory. 38(12):1489–1508, 2003. doi: 10.1016/S0094-114X(03)00099-5.
[5] T. Čampara, H. Bukvić, D. Sprečić. Ability to control swinging of payload during the movement of the rotary cranes mechanism. In 4th International Conference on Intelligent Technologies in Logistics and Mechatronics Systems. Kaunas University of Technology Panevezys Institute, pages 52–55, Kaunas. Lithuania, 2009.
[6] V. Loveikin, Yu. Romasevych, A. Loveikin, and M. Korobko. Optimization of the trolley mechanism acceleration during tower crane steady slewing. Archive of Mechanical Engineering, 69(3):411–429, 2022. doi: 10.24425/ame.2022.140424.
[7] I.G. Carmona and J. Colado. Control of a two wired hammerhead tower crane. Nonlinear Dynamics, 84(4):2137–2148, 2016. doi: doi.org/10.1109/AIM.2016.7576860">10.1109/AIM.2016.7576860.
[9] R.P. Gerasymyak and V.A. Leshchev. Analysis and Synthesis of Crane Electromechanical Systems. 2008. (in Russian).
[10] R.P. Gerasymyak and O.V. Naidenko. Features of the control of the electric drive of the boom departure mechanism during the rotation of the crane with a suspended load. Electrical Engineering and Electrical Equipment, 68:11–15, 2007. (in Ukrainian).
[11] Naidenko E.V. Electric drive control of horizontal movement mechanisms with a suspended load. Electric Machine Building and Electric Control, 69:17–22, 2007.
[12] M. Čolić, N. Pervan, M. Delić, A.J. Muminović, S. Odžak, and V. Hadžiabdić. Mathematical modelling of bridge crane dynamics for the time of non-stationary regimes of working hoist mechanism. Archive of Mechanical Engineering, 69(2):189–202, 2022. doi: 10.24425/ame.2022.140415.
[13] S. Chwastek. Optimization of crane mechanism to reduce vibration. Automation in Construction, 119:103335, 2020. doi: 10.1016/j.autcon.2020.103335.
[14] V. Loveikin, Yu. Romasevych, A. Loveikin, A. Lyashko,and M. Korobko. Minimization of high frequency oscillations of trolley movement mechanism during steady tower crane slewing. UPB Scientific Bulletin, Series D: Mechanical Engineering, 84(1):31-44, 2022.
[15] Z. Liu, T. Yang, N. Sun, and Y. Fang. An antiswing trajectory planning method with state constraints for 4-DOF tower cranes: Design and experiments. IEEE Access, 7: 62142–62151, 2019. doi: 10.1109/ACCESS.2019.2915999.
[16] T.K. Nguyen. Combination of feedback control and spring-damper to reduce the vibration of crane payload. Archive of Mechanical Engineering, 68(2):165–181, 2021. doi: 10.24425/ame.2021.137046.
[17] G. Rigatos, M. Abbaszadeh, and J. Pomares. Nonlinear optimal control for the 4-DOF underactuated robotic tower crane. Autonomous Intelligent Systems, 2:21, 2022. doi: 10.1007/s43684-022-00040-4.
[18] A. Al-Fadhli and E. Khorshid. Payload oscillation control of tower crane using smooth command input. Journal of Vibration and Control, 29(3-4):902–915. 2023. doi: 10.1177/10775463211054640.
[19] S.-J. Kimmerle, M. Gerdts, and R. Herzog. An optimal control problem for a rotating elastic crane-trolley-load system. IFAC-PapersOnLine, 51(2):272-277, 2018, doi: 10.1016/j.ifacol.2018.03.047.
[20] Y. Romasevych, V. Loveikin, and Y. Loveikin. Development of a PSO modification with varying cognitive term. 2022 IEEE 3rd KhPI Week on Advanced Technology, KhPI Week 2022 – Conference Proceedings, Kharkiv, Ukraine, 2022. doi: 10.1109/KhPIWeek57572.2022.9916413.
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Authors and Affiliations

Viacheslav Loveikin
1
ORCID: ORCID
Yuriy Romasevych
1
ORCID: ORCID
Andrii Loveilin
2
ORCID: ORCID
Mykola Korobko
1
ORCID: ORCID
Anastasia Liashko
1
ORCID: ORCID
  1. National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
  2. Taras Shevchenko National University of Kyiv, Ukraine

The Application of the Theory of Synthesis of a Delay Line with a Surface Acoustic Wave for a Single-Mode Oscillator of Electric Signals in Some Sensors of Non-Electrical Quantities

Milan Šimko Miroslav Gutten Milan Chupáč Daniel Korenčiak
Metrology and Measurement Systems | 2017 | vol. 24 | No 3 | 563–576 | DOI: 10.1515/mms-2017-0040
Keywords delay line oscillator surface acoustic wave interdigital transducers
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Abstract

The paper deals with the issue of constructing delay lines on the basis of surface acoustic waves and their application to single-mode oscillators. As a result of a theoretical analysis concrete delay lines are proposed.

In the contribution, there is presented a theory of designing a symmetrical mismatched and matched delay line for a single-mode oscillator of electrical signals on the basis of which there were designed and fabricated acoustic-electronic components for sensors of non-electrical quantities.

From the experimental results it can be stated that all of six designed and fabricated delay lines can be effectively used in the construction of single-mode oscillators.

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Authors and Affiliations

Milan Šimko
Miroslav Gutten
Milan Chupáč
Daniel Korenčiak

Dynamics, control, stability, diffusion and synchronization of modified chaotic Colpitts oscillator

Suresh Rasappan K.A. Niranjan Kumar
Archives of Control Sciences | 2021 | vol. 31 | No 3 | 731-759 | DOI: 10.24425/acs.2021.138699
Keywords chaos Colpitts oscillator Lyapunov exponent diffusion stability synchronization
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Abstract

The purpose of this paper is to introduce a new chaotic oscillator. Although different chaotic systems have been formulated by earlier researchers, only a few chaotic systems exhibit chaotic behaviour. In this work, a new chaotic system with chaotic attractor is introduced. It is worth noting that this striking phenomenon rarely occurs in respect of chaotic systems. The system proposed in this paper has been realized with numerical simulation. The results emanating from the numerical simulation indicate the feasibility of the proposed chaotic system. More over, chaos control, stability, diffusion and synchronization of such a system have been dealt with.
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Bibliography

[1] M.P. Kennedy: Chaos in the Colpitts oscillator. IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 41 (1994), 771–774, DOI: 10.1109/81.331536.
[2] S. Vaidyanathan, K. Rajagopal, C.K. Volos, I.M. Kyprianidis, and I.N. Stouboulos: Analysis, adaptive control and synchronization of a seventerm novel 3-D chaotic system with three quadratic nonlinearities and its digital implementation in labview. Journal of Engineering Science and Technology Review, 8 (2015), 130–141.
[3] P. Kvarda: Identifying the deterministic chaos by using the Lyapunov exponents. Radioengineering-Prague, 10 (2001), 38–38.
[4] Y.C. Lai and C. Grebogi: Modeling of coupled chaotic oscillators. Physical Review Letters, 82 (1999), 4803, DOI: 10.1103/PhysRevLett.82.4803.
[5] H. Deng and D. Wang: Circuit simulation and physical implementation for a memristor-based Colpitts oscillator. AIP Advances, 7 (2017), 035118, DOI: 10.1063/1.4979175.
[6] A. Cenys, A. Tamasevicius, A.Baziliauskas, R. Krivickas, and E. Lind- berg: Hyperchaos in coupled Colpitts oscillators. Chaos, Solitons & Fractals, 17 (2003), DOI: 10.1016/S0960-0779(02)00373-9.
[7] C.M. Kim, S. Rim, W.H. Kye, J.W. Ryu, and Y.J. Park: Anti-synchronization of chaotic oscillators. Physics Letters A, 320 (2003), 39–46, DOI: 10.1016/j.physleta.2003.10.051.
[8] A.S. Elwakil and M.P. Kennedy: A family of Colpitts-like chaotic oscillators. Journal of the Franklin Institute, 336 (1999), 687–700, DOI: 10.1016/S0016-0032(98)00046-5.
[9] S. Vaidyanathan, A. Sambas, and S. Zhang: A new 4-D dynamical system exhibiting chaos with a line of rest points, its synchronization and circuit model. Archives of Control Sciences, 29 (2019), DOI: 10.24425/acs.2019.130202.
[10] C.K. Volos, V.T. Pham, S. Vaidyanathan, I.M. Kyprianidis, and I.N. Stouboulos: Synchronization phenomena in coupled Colpitts circuits. Journal of Engineering Science & Technology Review, 8 (2015).
[11] H. Fujisaka and T. Yamada: Stability theory of synchronized motion in coupled-oscillator systems. Progress of theoretical physics, 69 (1983), 32– 47, DOI: 10.1143/PTP.69.32.
[12] N.J. Corron, S.D. Pethel, and B.A. Hopper: Controlling chaos with simple limiters. Physical Review Letters, 84 (2000), 3835, DOI: 10.1103/Phys-RevLett.84.3835.
[13] J.Y. Effa, B.Z. Essimbi, and J.M. Ngundam: Synchronization of improved chaotic Colpitts oscillators using nonlinear feedback control. Nonlinear Dynamics, 58 (2009), 39–47, DOI: 10.1007/s11071-008-9459-7.
[14] S. Mishra, A.K. Singh, and R.D.S. Yadava: Effects of nonlinear capacitance in feedback LC-tank on chaotic Colpitts oscillator. Physica Scripta, 95 (2020), 055203. DOI: 10.1088/1402-4896/ab6f95.
[15] S. Vaidyanathan and S. Rasappan: Global chaos synchronization of nscroll Chua circuit and Lur’e system using backstepping control design with recursive feedback. Arabian Journal for Science and Engineering, 39 (2014), 3351–3364, DOI: 10.1007/s13369-013-0929-y.
[16] R. Suresh and V. Sundarapandian: Hybrid synchronization of nscroll Chua and Lur’e chaotic systems via backstepping control with novel feedback. Archives of Control Sciences, 22 (2012), 343–365, DOI: 10.2478/v10170-011-0028-9.
[17] S. Rasappan: Synchronization of neuronal bursting using backstepping control with recursive feedback. Archives of Control Sciences, 29 (2019), 617–642, DOI: 10.24425/acs.2019.131229.
[18] H.B. Fotsin and J.Daafouz:Adaptive synchronization of uncertain chaotic Colpitts oscillators based on parameter identification. Physics Letters A, 339 (2005), 304–315, DOI: 10.1016/j.physleta.2005.03.049.
[19] S. Sarkar, S. Sarkar, and B.C. Sarkar: On the dynamics of a periodic Colpitts oscillator forced by periodic and chaotic signals. Communications in Nonlinear Science and Numerical Simulation, 19 (2014), 2883–2896, DOI: 10.1016/j.cnsns.2014.01.004.
[20] S.T. Kammogne and H.B. Fotsin: Synchronization of modified Colpitts oscillators with structural perturbations. Physica scripta, 83 (2011), 065011, DOI: 10.1088/0031-8949/83/06/065011.
[21] S.T. Kammogne and H.B. Fotsin: Adaptive control for modified projective synchronization-based approach for estimating all parameters of a class of uncertain systems: case of modified Colpitts oscillators. Journal of Chaos, (2014), DOI: 10.1155/2014/659647.
[22] L.M. Pecora and T.L. Carroll: Synchronization in chaotic systems. Physical review letters, 64 (1990), 821, DOI: 10.1103/PhysRevLett.64.821.
[23] I. Ahmad and B. Srisuchinwong: A simple two-transistor 4D chaotic oscillator and its synchronization via active control. IEEE 26th International Symposium on Industrial Electronics, (2017) 1249–1254, DOI: 10.1109/ISIE.2017.8001424.
[24] S. Bumelien˙e, A. Tamasevicius, G. Mykolaitis, A. Baziliauskas, and E. Lindber: Numerical investigation and experimental demonstration of chaos from two-stage Colpitts oscillator in the ultrahigh frequency range. Nonlinear Dynamics, 44 (2006), 167–172, DOI: 10.1007/s11071-006-1962-0.
[25] F.Q. Wu, J. Ma, and G.D. Ren: Synchronization stability between initialdependent oscillators with periodical and chaotic oscillation. Journal of Zhejiang University-Science A, 19 (2018), 889–903, DOI: 10.1631/jzus.a1800334.
[26] G.H. Li, S.P. Zhou, and K. Yang: Controlling chaos in Colpitts oscillator. Chaos, Solitons & Fractals, 33 (2007), 582–587, DOI: 10.1016/j.chaos.2006.01.072.
[27] S. Vaidyanathan, S.A.J.A.D. Jafari, V.T. Pham, A.T. Azar, and F.E. Al- saadi: A 4-D chaotic hyperjerk system with a hidden attractor, adaptive backstepping control and circuit design. Archives of Control Sciences, 28 (2018), 239–254, DOI: 10.24425/123458.
[28] J.H. Park: Adaptive control for modified projective synchronization of a four-dimensional chaotic system with uncertain parameters. Journal of Computational and Applied Mathematics, 213 (2008), 288–293. DOI: 10.1016/j.cam.2006.12.003.
[29] M. Rehan: Synchronization and anti-synchronization of chaotic oscillators under input saturation. Applied Mathematical Modelling, 37 (2013), 6829– 6837. DOI: 10.1016/j.apm.2013.02.023.
[30] M.C. Liao, G. Chen, J.Y. Sze, and C.C. Sung: Adaptive control for promoting synchronization design of chaotic Colpitts oscillators. Journal of the Chinese Institute of Engineers, 31 (2008), 703–707. DOI: 10.1080/02533839.2008.9671423.
[31] S. Rasappan and S. Vaidyanathan: Hybrid synchronization of n-scroll chaotic Chua circuits using adaptive backstepping control design with recursive feedback. Malaysian Journal of Mathematical Sciences, 7 (2013), 219–246. DOI: 10.1080/23311916.2015.1009273.
[32] J. Kengne, J.C. Chedjou, G. Kenne, and K. Kyamakya: Dynamical properties and chaos synchronization of improved Colpitts oscillators. Communications in Nonlinear Science and Numerical Simulation, 17 (2012), 2914–2923. DOI: 10.1016/j.cnsns.2011.10.038.
[33] W. Hahn: Stability of motion. Springer, 138, 1967.
[34] J.P. Singh and B.K. Roy: The nature of Lyapunov exponents is (+,+,-,-). Is it a hyperchaotic system? Chaos, Solitons & Fractals, 92 (2016), 73–85. DOI: 10.1016/j.chaos.2016.09.010.
[35] A. Wolf, J.B. Swift, H.L. Swinney, and J.A. Vastano: Determining Lyapunov exponents from a time series. Physica D: Nonlinear Phenomena, 16 (1985), 285–317. DOI: 10.1016/0167-2789(85)90011-9.
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Authors and Affiliations

Suresh Rasappan
1
K.A. Niranjan Kumar
1
  1. Department of Mathematics, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Avadi, Chennai-62, India

MW peak power KTP-OPO-based “eye-safe” transmitter

M. Kaskow L. Gorajek W. Zendzian J. Jabczynski
Opto-Electronics Review | 2018 | vol. 26 | No 2 | 188-193
Keywords Optical parametric oscillator Q-switched laser Neodymium laser
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Abstract

We demonstrate MW-level, single resonance optical parametric oscillator, based on KTP Type-II crystal with noncritical phase-matching. The OPO is pumped by electro-optically Q-switched Nd:YAG slab laser providing 55 mJ of pulse energy. At the output, we achieved 28 mJ of signal pulse energy at 1.57 μm with 51% conversion efficiency, corresponding to 1.4 MW of peak power.

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Authors and Affiliations

M. Kaskow
L. Gorajek
W. Zendzian
J. Jabczynski

Axial thrust in a vessel with unsteady rotating axial impeller

Szymon Woziwodzki
Chemical and Process Engineering: New Frontiers | 2023 | vol. 44 | No 2 | e11 | DOI: 10.24425/cpe.2023.144697
Keywords unsteady mixing axial force oscillations axial thrust axial impellers
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Abstract

Unsteady motion of the impeller is one of the several methods to improve mixing in unbaffled vessel. It is very important in pharmaceutical industry, crystallization processes or some chemical reaction with catalyst where baffles are not recommended. The literature data shows that unsteady mixing cause generation of axial flow for radial impellers (Rushton turbine). The purpose of this study was to investigate axial force for axial impellers like A315, HE-3 and SC-3. Moreover, the momentum number, flow number and pumping efficiency were analysed. Results shows that axial force for unsteady mixing is higher in comparison to steady-state mixing. Also, the comparison of axial force between impellers shows that blades influence momentum number and flow number. Impellers with larger blade surface generate stronger axial force. The obtained results reveal that unsteady mixing with axial impellers could be apply for solid-liquid mixing as suitable alternative to steady-state mixing.
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Authors and Affiliations

Szymon Woziwodzki
1
  1. Poznan University of Technology, Department of Chemical Engineering and Equipment, Berdychowo 4, 60-965 Poznan, Poland

Six-phase doubly fed induction machine-based standalone DC voltage generator

Paweł Maciejewski Grzegorz Iwański
Bulletin of the Polish Academy of Sciences Technical Sciences | 2021 | 69 | No. 1 | e135839 | DOI: 10.24425/bpasts.2021.135839
Keywords six-phase induction machine induction generator torque oscillations DC voltage generation
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Abstract

The paper presents a multi-phase doubly fed induction machine operating as a DC voltage generator. The machine consists of a six-phase stator circuit and a three-phase rotor circuit. Two three-phase six-pulse diode rectifiers are connected to each three-phase machine section on the stator side and in parallel to the common DC circuit feeding the isolated load. The same DC bus is also common for the rotor side power electronics converter responsible for machine control. Two methods – direct torque control DTC and field oriented control FOC – were implemented for machine control and compared by means of simulation tests. Field oriented control was implemented in the laboratory test bench.

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Bibliography

  1.  G.D. Marques, D. Sousa, and M. F. Iacchetti, “Sensorless torque control of a DFIG connected to a DC link”, IEEE Int. Symp. on Sensorless Control for Electrical Drives and Predictive Control of Electrical Drives and Power Electronics – SLED/PRECEDE’13, Munich, Germany, 2013, pp. 1‒7.
  2.  M.F. Iacchetti and G.D. Marques, “Enhanced torque control in a DFIG connected to a DC grid by a diode rectifier”, 16th Europ. Conf. Power Electron. and Appl. – EPE’14, Lappeenranta, Finland, 1‒9 (2014).
  3.  G.D. Marques and M.F. Iacchetti, “A self-sensing stator-current-based control system of a DFIG connected to a DC-link”, IEEE Trans. Ind. Electron. 62(10), 6140–6150 (2015).
  4.  Y. Li, et al, “The capacity optimization for the static excitation controller of the dual-stator-winding induction generator operating in a wide speed range”, IEEE Trans. Ind. Electron. 56(2), 530–541 (2009).
  5.  H. Misra, A. Gundavarapu, and A.K. Jain, “Control scheme for DC voltage regulation of stand-alone DFIG-DC system”, IEEE Trans. Ind. Electron. 64(4), 2700–2708 (2017).
  6.  N. Yu, H. Nian, and Y. Quan, “A novel DC grid connected DFIG system with active power filter based on predictive current control”, Int. Conf. Electr. Machines and Systems – ICEMS’11, Beijing, China, 2011, pp. 1–5.
  7.  M.F. Iacchetti, G.D. Marques, and R. Perini, “Torque ripple reduction in a DFIG-DC system by resonant current controllers”, IEEE Trans. Power Electron. 30(8), 4244–4254 (2015).
  8.  C. Wu and H. Nian, “Improved direct resonant control for suppressing torque ripple and reducing harmonic current losses of dfig-dc system”, IEEE Trans. Power Electron. 34(9), 8739–8748 (2019).
  9.  C. Wu, et al, “Adaptive repetitive control of DFIG-DC system considering stator frequency variation”, IEEE Trans. Power Electron. 34(4), 3302‒3312 (2018).
  10.  A. Gundavarapu, H. Misra, and A. K. Jain, “Direct torque control scheme for dc voltage regulation of the standalone DFIG-DC system”, IEEE Trans. Ind. Electron. 64(5), 3502–3512 (2017).
  11.  P. Maciejewski and G. Iwanski, “Direct torque control for autonomous doubly fed induction machine based DC generator”, 12th Int. Conf. Ecological Vehicles and Renewable Energies – EVER’17, Monte Carlo, Monaco, 2017, pp. 1–6.
  12.  P. Maciejewski and G. Iwanski, “Study on direct torque control methods of a doubly fed induction machine working as a stand-alone DC voltage generator”, IEEE Trans. Energy Conv. (to be published), doi: 10.1109/TEC.2020.3012589.
  13.  M. Gwóźdź et al, “Generator with modulated magnetic flux for wind turbines”, Bull. Pol. Ac.: Tech. 65(4), 469–478 (2017).
  14.  E. Levi, et al, “Multiphase induction motor drives – a technology status review”, IET Electric Power Applications 1(4), 489–516 (2007).
  15.  F. Bu, Y. Hu, W. Huang, S. Zhuang, and K. Shi, “Wide-speed-range-operation dual stator-winding induction generator DC generating system for wind power applications”, IEEE Trans. Power Electron. 30(2), 561–573 (2015).
  16.  B. Zhang et al., “Comparison of 3-, 5-, and 6-phase machines for automotive charging applications”, IEEE Int .Electric Machines and Drives Conf. 3, 1357–1362 (2003).
  17.  K.S. Khan, W.M. Arshad, and S. Kanerva, “On performance figures of multiphase machines”, 18th Int. Conf. Electr. Machines – ICELMACH’08, Vilamoura, Portugal, 2008, pp. 1‒5.
  18.  S. Williamson and S. Smith, “Pulsating torque and losses in multiphase induction machines”, IEEE Trans. Ind. Appl. 39(4), 986–993 (2003).
  19.  P.G. Holmes and N.A. Elsonbaty, “Cycloconvertor-excited divided-winding doubly-fed machine as a wind-power convertor”, IEE Proc. B Electr. Power Appl. 131(2), 61–69 (1984).
  20.  P. Maciejewski and G. Iwanski, “Modeling of six-phase double fed induction machine for autonomous DC voltage generation”, 10th Int. Conf. Ecological Vehicles and Renewable Energies – EVER’15, Monte Carlo, Monaco, 2015, pp. 1–6.
  21.  G.D. Marques and M.F. Iacchetti, “DFIG topologies for DC networks: a review on control and design features”, IEEE Trans. Power Electron. 34(2), 1299‒1316 (2019).
  22.  N.K. Mishra, Z. Husain, and M. Rizwan Khan, “DQ reference frames for the simulation of multiphase (six phase) wound rotor induction generator driven by a wind turbine for disperse generation”, Electr. Power Appl. IET, 13(11), 1823‒1834, (2019).
  23.  R. Bojoi, et al, “Dual-three phase induction machine drives control; A survey”, IEEJ Trans. Ind. Appl. 126(4), 420–429 (2006).
  24.  R. Nelson and P. Krause, “Induction machine analysis for arbitrary displacement between multiple winding sets”, IEEE Trans. Power Appar. Syst. 93(3), 841–848 (1974).
  25.  D. Forchetti, G. García, and M.I. Valla, “Vector control strategy for a doubly-fed stand-alone induction generator”, Ind. Electron. Conf. – IECON’12, Montreal, Canada, 2, 2002, pp. 991–995.
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Authors and Affiliations

Paweł Maciejewski
1
Grzegorz Iwański
1
  1. Warsaw University of Technology, Institute of Control and Industrial Electronics, 75, Koszykowa St., 00-662 Warszawa, Poland

Method of calculation flexural stiffness over natural oscillations frequencies

A. Nesterenko G. Stolpovskiy M. Nesterenko
Archives of Civil Engineering | 2018 | Vol. 64 | No 4/I | 89-103
Keywords Dynamics building system frequency of natural oscillations flexural stiffness finite-element method
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Abstract

The actual load-bearing capacity of elements of a building system can be calculated by dynamic parameters, in particular by resonant frequency and compliance. The prerequisites for solving such a problem by the finite element method (FEM) are presented in the article. First, modern vibration tests demonstrate high accuracy in determination of these parameters, which reflects reliability of the diagnosis. Secondly, most modern computational complexes do not include a functional for calculating the load-bearing capacity of an element according to the input values of resonance frequencies. Thirdly, FEM is the basis for development of software tools for automating the computation process. The article presents the method for calculating flexural stiffness and moment of inertia of a beam construction system by its own frequencies. The method includes calculation algorithm realizing the finite element method.

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Authors and Affiliations

A. Nesterenko
G. Stolpovskiy
M. Nesterenko

Dynamical behavior of a new jerk system inspired from chaotic memory oscillators

Saad Fawzi Al-Azzawi
Archives of Control Sciences | 2024 | vol. 34 | No 1 | 149-170 | DOI: 10.24425/acs.2024.149656
Keywords chaotic memory oscillators (𝑀𝑂4) jerk system elegant system encryption decryption
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Abstract

This paper constructs a six-term new simple 3D jerk system modeled by chaotic model memory oscillators with four parameters that control the behavior. The suitable choice of one of these parameters helps the system describe behavior and attractors. This means that the choice is a parameter of the associated behavior (dissipative or conservative) and attractors (self-excited or hidden). Some features of the equilibrium are observed that are related to the dependence on these parameters, such as saddle-foci, non-hyperbolic, and node-foci. This system is rich in dynamic features including chaotic, quasi-periodic (2-torus), and periodic via the utilization of bifurcation diagrams and Lyapunov spectrum. Finally, a new image encryption algorithm is introduced that utilizes the jerk system. The algorithm is assessed through statistical performance analysis, according to the results of the experiments and security tests, it has been verified that the suggested image encryption algorithm is highly secure and could be a viable option for real-world applications.
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Authors and Affiliations

Saad Fawzi Al-Azzawi
1
ORCID: ORCID
  1. Department of Mathematics, Collegeof Computer Science and Mathematics, University of Mosul, Mosul, Iraq

Infrasound fluctuations during heavy fog event in the Arctic: A case study

Oleg I. Shumilov Elena A. Kasatkina Dmitry V. Makarov Marek Krapiec
Polish Polar Research | 2021 | vol. 42 | No 3 | 193-201 | DOI: 10.24425/ppr.2021.137143
Keywords Arctic Kola infrasonic waves atmospheric electric field oscillations
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Abstract

Extremely dense fog event was studied on the 3rd December 2001, which occurred in the city of Apatity, the Kola Peninsula, northwestern Russia. Fog had low visibility (30–50 m) and lasted 17 h. Variations of atmospheric pressure and electric field before and during the fog event were measured. Multiple Taper Method (MTM) of spectral analysis has revealed pulsations of the atmospheric electric field in the frequency band of 0.007–0.05 Hz with a power-law turbulence spectrum. MTM and wavelet decomposition analysis results indicate the appearance of two types of atmospheric pressure oscillations under the fog conditions: low-frequency variations with periods of internal gravity waves and a substantial increase in pulsation intensity (more than an order of magnitude) in the high frequency (0.03–0.35 Hz) range. These results may help to improve the understanding of the microphysics of fog formation, development, and dissipation. High-frequency pulsations generation of atmospheric pressure under the fog conditions is also of interest because their period is close to the range of infrasonic oscillations, which can have negative consequences for human health.
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Authors and Affiliations

Oleg I. Shumilov
1
Elena A. Kasatkina
1
Dmitry V. Makarov
1
Marek Krapiec
2
  1. Institute of North Industrial Ecology Problems, Kola Science Centre RAS, Fersman 14a, Apatity, Russia
  2. University of Science and Technology (AGH), Mickiewicza 30, 30-059 Krakow, Poland

Dynamical properties of a modified chaotic Colpitts oscillator with triangular wave non-linearity

Rasappan Suresh Kumaravel Sathish Kumar Murugesan Regan K.A. Niranjan Kumar R. Narmada Devi Ahmed J. Obaid
Archives of Control Sciences | 2023 | vol. 33 | No 1 | 25-53 | DOI: 10.24425/acs.2023.145112
Keywords chaos Colpitts oscillator Lyapunov exponent diffusion stability synchronization triangular wave non-linearity
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Abstract

The purpose of this paper is to introduce a new chaotic oscillator. Although different chaotic systems have been formulated by earlier researchers, only a few chaotic systems exhibit chaotic behaviour. In this work, a new chaotic system with chaotic attractor is introduced for triangular wave non-linearity. It is worth noting that this striking phenomenon rarely occurs in respect of chaotic systems. The system proposed in this paper has been realized with numerical simulation. The results emanating from the numerical simulation indicate the feasibility of the proposed chaotic system. More over, chaos control, stability, diffusion and synchronization of such a system have been dealt with.
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Authors and Affiliations

Rasappan Suresh
1
Kumaravel Sathish Kumar
2
Murugesan Regan
2
K.A. Niranjan Kumar
2
R. Narmada Devi
2
Ahmed J. Obaid
3
  1. Mathematics Section, Department of Information Technology, College of Computing and Information Sciences, University of Technology and Applied Sciences, Ibri, Sultanate of Oman
  2. Department of Mathematics, Vel Tech Rangarajan Dr.Sagunthala R& D Institute of Science and Technology, Avadi, Chennai-62, India
  3. Faculty of Computer Science and Mathematics, University of Kufa, Iraq

Research on improving low-frequency oscillation characteristics of wind power grid-connected power system with doubly-fed wind generator based on virtual impedance power system stabilizer

Ping He Yongliang Zhu Qiuyan Li Jiale Fan Yukun Tao
Archives of Electrical Engineering | 2023 | vol. 72 | No 3 | 811 –828 | DOI: 10.24425/aee.2023.146051
Keywords doubly-fed induction wind turbine grid-connected wind power low-frequency oscillation power system stabilizer virtual impedance
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Abstract

The grid integration of large-scale wind power will alter the dynamic characteristics of the original system and the power distribution among synchronous machines. Meanwhile, the interaction between wind turbines and synchronous machines will affect the damping oscillation characteristics of the system. The additional damping control of traditional synchronous generators provides an important means for wind turbines to enhance the damping characteristics of the system. To improve the low frequency oscillation characteristics of wind power grid-connected power systems, this paper adds a parallel virtual impedance link to the traditional damping controller and designs a DFIG-PSS-VI controller. In the designed controller, the turbine active power difference is chosen as the input signal based on residual analysis, and the output signal is fed back to the reactive power control loop to obtain the rotor voltage quadrature component. With DigSILENT/PowerFactory, the influence of the controller parameters is analyzed. In addition, based on different tie-line transmission powers, the impact of the controller on the low-frequency oscillation characteristics of the power system is examined through utilizing the characteristic root and time domain simulation analysis.
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Authors and Affiliations

Ping He
1
ORCID: ORCID
Yongliang Zhu
2
Qiuyan Li
3
Jiale Fan
1
Yukun Tao
1
  1. Zhengzhou University of Light Industry, College of Electrical and Information Engineering, China
  2. Zhengzhou University of Light Industry, College of Materials and Chemical Engineering, China
  3. State Grid Henan Electric Power Company, Economic and Technical Research Institute, China

Terahertz response of CdTe/Cd 1-xMg xTe modulation-doped multiple quantum wells

Jerzy Łusakowski Andrzej Frączak Mikołaj Grymuza Eryk Imos Adam Siemaszko Wiktoria Solarska Aniela Woyciechowska Maciej Zaremba Rafał Zdunek Krzysztof Karpierz Zbigniew Adamus Tomasz Słupiński Tomasz Wojtowicz
Opto-Electronics Review | 2023 | 31 | 2 | e144600 | DOI: 10.24425/opelre.2023.144600
Keywords terahertz spectroscopy Shubnikov-de Haas oscillations modulation-doped multiple CdTe-based quantum wells
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Abstract

Terahertz (THz) transmission, photoresistance, and electrical conductivity experiments were carried out at 4.2 K on a sample with modulation-doped CdTe/Cd 1-xMg xTe multiple quantum wells. The measurements were carried out as a function of a magnetic field B up to 9 T and a radiation frequency between 0.1 and 0.66 THz. A broad minimum in the transmission curve was observed at magnetic fields corresponding to the cyclotron resonance at given THz frequency which was followed at larger fields by an oscillatory signal, periodic in B −1. Shubnikov-de Haas oscillations were observed in magnetoconductivity and in photoresistance. Each of these experimental signals revealed the same electron concentration equal to (1.01 ± 0.03) ∙1012 cm −2. THz spectroscopy results are compared with data obtained on a single quantum well and are discussed from the point of view of using such multiple quantum wells as THz optical elements.
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Authors and Affiliations

Jerzy Łusakowski
1 2
ORCID: ORCID
Andrzej Frączak
1
Mikołaj Grymuza
1
Eryk Imos
1
Adam Siemaszko
1
Wiktoria Solarska
1
Aniela Woyciechowska
1
Maciej Zaremba
1
Rafał Zdunek
1
Krzysztof Karpierz
1
Zbigniew Adamus
3 4
ORCID: ORCID
Tomasz Słupiński
3 4
ORCID: ORCID
Tomasz Wojtowicz
3
ORCID: ORCID
  1. Faculty of Physics, University of Warsaw, Pasteura 5, 02-093 Warsaw, Poland
  2. CENTERA Laboratories, Institute of High-Pressure Physics, Polish Academy of Sciences, Sokołowska 29, 01-142 Warsaw, Poland
  3. International Research Centre Mag Top, Institute of Physics, Polish Academy of Sciences, Aleja Lotników 32/46, 02-668 Warsaw, Poland
  4. Institute of Physics,Polish Academy of Sciences, Aleja Lotników 32/46, 02-668 Warsaw, Poland

A flexible approach to combating chromatic dispersion in a centralized 5G network

M. A. Ilgaz K. Vuk Baliž B. Batagelj
Opto-Electronics Review | 2020 | 28 | 1 | 35-42 | DOI: 10.24425/opelre.2020.132498
Keywords chromatic dispersion opto-electronic oscillator power penalty radio access network tunable dispersion-compensation module
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Abstract

This article proposes and examines a solution in which the base-station for the fifth generation radio access network is simplified by using a single millimeter-wave oscillator in the central-station and distributing its millimeter-wave signal to the base-stations. The system is designed in such a way that the low-phase-noise signal generated by an opto-electronic oscillator is transmitted from the central-station to multiple base-stations via a passive optical network infrastructure. A novel flexible approach with a single-loop opto-electronic oscillator at the transmitting end and a tunable dispersion-compensation module at the receiving end(s) is proposed to distribute a power-penalty-free millimeter-wave signal in the radio access network. Power-penalty-free signal transmission from 10 MHz up to 45 GHz with an optical length of 20 km is achieved by a combination of a tunable dispersion-compensation module and an optical delay line. In addition, measurements with a fixed modulation frequency of 39 GHz and discretely incrementing optical fiber lengths from 0.625 km to 20 km are shown. Finally, a preliminary idea for an automatically controlled feedback-loop tuning system is proposed as a further research entry point.

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Authors and Affiliations

M. A. Ilgaz
K. Vuk Baliž
B. Batagelj

Simple three-stage frequency-stabilized diode laser system using injection-locking and tapered amplifier

Jerzy Szonert Małgorzata Głódź Krzysztof Kowalski
Opto-Electronics Review | 2022 | 30 | 1 | e140146 | DOI: 10.24425/opelre.2022.140146
Keywords diode laser optical injection-locking master oscillator power amplifier optical limiting amplifier tapered amplifier
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Abstract

We developed a three-stage, amplifying, tunable diode laser system that comprises a master laser in a Littrow configuration, frequency-stabilized by dichroic atomic vapour laser lock, acousto-optic frequency shifter, injection-locked slave laser, and tapered amplifier. The slave amplifies the injected frequency-shifted master beam while suppressing (within 0.5  %) the strong dependence of its intensity on the acousto-optic frequency shifter carrier frequency, thus acting as a strongly saturated optical limiting amplifier with constant output power. The resulting beam is then amplified in a tapered amplifier. The system provides an output power above 700 mW at a wavelength of 780 nm, with a time-averaged linewidth of 0.6 MHz, and a frequency drift below 2 MHz/h. Dichroic atomic vapour laser lock enables frequency stabilization in the range of 400 MHz around D2 lines of rubidium. The mode-hop-free tuning range amounts to 2 GHz. Determined by the acousto-optic frequency shifter model used, the fine-tuning range (precision of few tens kHz) spans 70 MHz. A description of the system was presented and its performance was tested. The basic components have been designed in our laboratory.
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Bibliography

  1. Welch, D. F. A brief history of high-power semiconductor lasers. IEEE J. Sel. Top. Quantum Electron. 6, 1470–1477 (2000). https://doi.org/10.1109/2944.902203
  2. Wieman, C. E & Hollberg, L. Using diode lasers for atomic physics. Rev. Sci. Instrum. 62, 1–20 (1991). https://doi.org/10.1063/1.1142305
  3. Galbács, G.  A review of applications and experimental improvements related to diode laser atomic spectroscopy. Appl. Spectrosc. Rev. 41, 259–303 (2006) . https://doi.org/10.1080/05704920600620378
  4. Mroziewicz, B. External cavity wavelength tunable semiconductor lasers: a review. Opto-Electron. Rev. 16, 347–366 (2008). https://doi.org/10.2478/s11772-008-0045-9
  5. Nasim, H. & Jamil, Y. Recent advancements in spectroscopy using tunable diode lasers. Laser Phys. 10, 043001 (2013). https://doi.org/10.1088/1612-2011/10/4/043001
  6. MacAdam, K. B., Steinbach A. & Wieman, C. A narrow-band tunable diode laser system with grating feedback and a saturated absorption spectrometer for Cs and Rb. Am. J. Phys. 60, 1098–1111 (1992). https://doi.org/10.1119/1.16955
  7. Merimaa, M. et al. Compact external-cavity diode laser with a novel transmission Opt. Commun. 174, 175–180, (2000). https://doi.org/10.1016/S0030-4018(99)00654-9
  8. Laurila, T., Joutsenoja, T., Hernberg, R. & Kuittinen, M. Tunable external-cavity diode laser at 650 nm based on a transmission diffraction grating. Appl. Opt. 41, 5632–5637 (2002). https://doi.org/10.1364/AO.41.005632
  9. Hoppe, M. et al. Construction and characterization of external cavity diode lasers based on a microelectromechanical system device. IEEE J. Sel. Top. Quantum Electron. 25, 2700109 (2019). https://doi.org/10.1109/JSTQE.2019.2912059
  10. Hieta, T., Vainio, M., Moser, C. & Ikonen, E. External-cavity lasers based on a volume holographic grating at normal incidence for spectroscopy in the visible range. Opt. Commun. 282, 3119–3123 (2009). https://doi.org/10.1016/j.optcom.2009.04.047
  11. Luvsandamdin, E. et al. Micro-integrated extended cavity diode lasers for precision potassium spectroscopy in space. Opt. Express. 22, 7790–7798 (2014). https://doi.org/10.1364/OE.22.007790
  12. Rauch, S. & Sacher, J. Compact Bragg grating stabilized ridge waveguide laser module with a power of 380 mW at 780 IEEE Photon. Technol. Lett. 27, 1737–1740 (2015). https://doi.org/10.1109/LPT.2015.2438545
  13. Allard, F., Maksimovic, I., Abgrall, M. & Laurent, Ph. Automatic system to control the operation of an extended cavity diode laser. Rev. Sci. Instrum. 75, 54–58 (2004). https://doi.org/10.1063/1.1634359
  14. Gilowski, M. et al. Narrow bandwidth interference filter-stabilized diode laser systems for the manipulation of neutral Opt. Commun. 280, 443–447 (2007). https://doi.org/10.1016/j.optcom.2007.08.043
  15. Thompson, D. J. & Scholten, R. E. Narrow linewidth tunable external cavity diode laser using wide bandwidth Rev. Sci. Instrum 83, 023107 (2012). https://doi.org/10.1063/1.3687441
  16. Yang, W., Joshi, A., Wang, H. & Xiao, M. Simple method for frequency locking of an extended- cavity diode Appl. Opt. 43, 5547–5551 (2004). https://doi.org/10.1364/AO.43.005547
  17. Li, H. & Telle, H. R. Efficient frequency noise reduction of GaA1As semiconductor lasers by optical feedback from an external high-finesse resonator. IEEE J. Quantum Electron. 25, 257–264 (1989). https://doi.org/10.1109/3.18538
  18. Hayasaka, K. Frequency stabilization of an extended-cavity violet diode laser by resonant optical feedback. Opt. Commun. 206, 401–409 (2002). https://doi.org/10.1016/S0030- 4018(02)01446-3
  19. Vassiliev, V. V. et al. Narrow-line-width diode laser with a high-Q microsphere Opt. Comm. 158, 305–312 (1998). https://doi.org/10.1016/S0030-4018(98)00578-1
  20. Liang, W. et al. Whispering-gallery-mode-resonator-based ultranarrow linewidth external- cavity semiconductor Opt. Lett. 35, 2822–2824 (2010). https://doi.org/10.1364/OL.35.002822
  21. Ricci, et al. A compact grating-stabilized diode laser system for atomic physics. Opt. Commun. 117, 541–549 (1995). https://doi.org/10.1016/0030-4018(95)00146-Y
  22. Arnold, A. S., Wilson, J. S. & Boshier, M. G. A simple extended-cavity diode laser. Rev. Instrum. 69, 1236–1239 (1998). https://doi.org/10.1063/1.1148756
  23. Harvey, K. C. & Myatt, C.  J. External-cavity diode laser using a grazing-incidence diffraction grating. Lett. 16, 910–912 (1991). https://doi.org/10.1364/OL.16.000910
  24. Stry, S. et al. Widely tunable diffraction limited 1000 mW external cavity diode laser in Littman/Metcalf configuration for cavity ring-down spectroscopy. Appl. Phys. B 85, 365–374 (2006). https://doi.org/10.1007/s00340-006-2348-1
  25. Nilse, L., Davies, H. J. & Adams, C. S. Synchronous tuning of extended cavity diode lasers: the case for an optimum pivot point. Appl. Opt. 38, 548–553 (1999). https://doi.org/10.1364/AO.38.000548
  26. Saliba, S. D., Junker, M., Turner, L. D. & Scholten, R. E. Mode stability of external cavity diode lasers. Appl. Opt. 48, 6692–6700 (2009). https://doi.org/10.1364/AO.48.006692
  27. Petridis, C., Lindsay, I. D., Stothard, D. J. M. & Ebrahimzadeh, M. Mode-hop-free tuning over 80 GHz of an extended cavity diode laser without antireflection coating. Rev. Sci. Instrum. 72, 3811– 3815 (2001). https://doi.org/10.1063/1.1405783
  28. Hult, J., Burns, I. S. & Kaminski, C. F., Wide-bandwidth mode-hop-free tuning of extended- cavity GaN diode lasers. Appl. Opt. 44, 3675–3685 (2005). https://doi.org/10.1364/AO.44.003675
  29. Vassiliev, V. V., Zibrov, S. A. & Velichansky, V. L. Compact extended-cavity diode laser for atomic spectroscopy and metrology. Rev. Sci. Instrum. 77, 013102 (2006). https://doi.org/10.1063/1.2162448
  30. Führer, T., Stang, D. & Walther, T. Actively controlled tuning of an external cavity diode laser by polarization spectroscopy. Opt. Express 17, 4991–4996 (2009). https://doi.org/10.1364/OE.17.004991
  31. Repasky,  S., Nehrir, A. R., Hawthorne, J.  T., Switzer, G. W. & Carlsten, J. L. Extending the continuous tuning range of an external-cavity diode laser. Appl. Opt. 45, 9013-9020 (2006). https://doi.org/10.1364/AO.45.009013
  32. Boshier, M. G., Berkeland, D., Hinds, E. A. & Sandoghdar, V. External-cavity frequency- stabilization of visible and infrared semiconductor lasers for high resolution spectroscopy. Comun. 85, 335–359 (1991). https://doi.org/10.1016/0030-4018(91)90490-5
  33. Dutta, S., Elliott, D. S. & Chen, Y. P. Mode-hop-free tuning over 135 GHz of external cavity diode lasers without antireflection coating. Appl. Phys. B 106, 629–633 (2012). https://doi.org/10.1007/s00340-011-4841-4
  34. Zhu, Y., Liu Z., Zhang, X., Shao, S. & Yan, H. Dynamic mode matching of internal and external cavities for enhancing the mode-hop-free synchronous tuning characteristics of an external-cavity diode laser. Appl. Phys. B 125, 217 (2019). https://doi.org/10.1007/s00340-019-7335-4
  35. Lotem, H., Pan, Z. & Dagenais, M. Tunable external cavity diode laser that incorporates a polarization half-wave plate. Appl. Opt. 31, 7530–7532 (1992). https://doi.org/10.1364/AO.31.007530
  36. Saliba, S. D. & Scholten, R. E., Linewidths below 100 kHz with external cavity diode Appl. Opt. 48, 6961–6966, (2009). https://doi.org/10.1364/AO.48.006961
  37. Genty, G., Gröhn, A., Talvitie, H., Kaivola, M. & Ludvigsen, H. Analysis of the linewidth of a grating-feedback GaAlAs laser. IEEE J. Quantum Electron. 36, 1193–1198 (2000). https://doi.org/10.1109/3.880660
  38. Loh, H. et al. Influence of grating parameters on the linewidths of external-cavity diode lasers. Appl. Opt. 45, 9191–9197 (2006). https://doi.org/10.1364/AO.45.009191
  39. Talvitie, H., Pietiläinen, A., Ludvigsen, H. & Ikonen, E. Passive frequency and intensity stabilization of extended-cavity diode lasers. Rev. Sci. Instrum. 68, 1–7 (1997). https://doi.org/10.1063/1.1147810
  40. Turner, L. D., Weber, K. P., Hawthorn, C. J. & Scholten, R. E. Frequency noise characterization of narrow linewidth diode lasers. Opt. Comm. 201, 391–397 (2002). https://doi.org/10.1016/S0030-4018(01)01689-3
  41. Bennetts, S. et al. External cavity diode lasers with 5 kHz linewidths and 200 nm tuning range at 1.55 μm. Opt. Expr. 22, 10642–10654 (2014). https://doi.org/10.1364/OE.22.010642
  42. Sahagun, D., Bolpasi, V. & von Klitzing, W. A simple and highly reliable laser system with microwave generated repumping light for cold atom experiments. Opt.Commun. 290, 110–114 (2013). https://doi.org/10.1016/j.optcom.2012.10.013
  43. Cook, E. C., Martin, P. J., Brown-Heft, T. L., Garman, J. C. & Steck, D. A. High-passive-stability diode-laser design for use in atomic-physics experiments. Rev. Sci. Instrum. 83, 043101 (2012). https://doi.org/10.1063/1.3698003
  44. Libbrecht, K. G. & Hall, J. A low-noise high-speed diode laser current controller. Rev. Sci. Instrum. 64, 2133–2135 (1993). https://doi.org/10.1063/1.1143949
  45. Lazar, J., Jedlička, P., Čip, O. & Ružička, B. Laser diode current controller with a high level of protection against electromagnetic interference. Rev. Sci. Instrum. 74, 3816–3819 (2003). https://doi.org/10.1063/1.1593783
  46. Erickson, C. J., Zijll, M. V., Doermann, G. & Durfee, D. S. An ultra-high stability, low-noise laser current driver with digital control. Rev. Sci. Instrum. 79, 073107 (2008). https://doi.org/10.1063/1.2953597
  47. Taubman, M. S. Low-noise high-performance current controllers for quantum cascade Rev. Sci. Instrum. 82, 064704 (2011). https://doi.org/10.1063/1.3600602
  48. Meyrath, T. P. An analog current controller design for laser diodes. Atom Optics Laboratory Center for Nonlinear Dynamics University of Texas at Austin, https://atomoptics-nas.uoregon.edu/ta_circuit/meyrath_laser_diode.pdf (2003), (Accessed: 30th July 2021).
  49. Madhavan Unni, P. K., Gunasekaran, M. K. & Kumar, A. ±30 μK temperature controller from 25 to 103 °C: Study and analysis. Rev. Sci. Instrum. 74, 231 (2003). https://doi.org/10.1063/1.1529299
  50. Libbrecht, K. G. & Libbrecht, A. W. A versatile thermoelectric temperature controller with 10 mK reproducibility and 100 mK absolute accuracy. Rev. Sci. Instrum. 80, 126107 (2009). https://doi.org/10.1063/1.3274204
  51. Millett-Sikking, A., Hughes, I. G., Tierney, P. & Cornish, S. L. DAVLL lineshapes in atomic rubidium. Phys. B 40, 187–198 (2007). https://doi.org/10.1088/0953-4075/40/1/017
  52. Krzemień, L. et al. Laser frequency stabilization by magnetically assisted rotation spectroscopy. Opt. Commun. 284, 1247–1253 (2011). https://doi.org/10.1016/j.optcom.2010.11.024
  53. Black, E. D. An introduction to Pound–Drever–Hall laser frequency stabilization. Am. J. Phys. 69, 79–87 (2001). https://doi.org/10.1119/1.1286663
  54. Appel, J., MacRae, A. & Lvovsky, A. I. A versatile digital GHz phase lock for external cavity diode Meas. Sci. Technol. 20, 055302 (2009). https://doi.org/10.1088/0957-233/20/5/055302
  55. Chéron, B., Gilles, H. Hamel, J., Moreau, O. & Sorel, H. Laser frequency stabilization using Zeeman effect. J. Physique III France 4, 401–406 (1994). (in French) https://doi.org/10.1051/jp3:1994136
  56. Corwin, K. L., Lu, Z.-T., Hand, C. F., Epstein, R. J. & Wieman, C. E. Frequency-stabilized diode laser with the Zeeman shift in an atomic vapor. Appl. Opt. 37, 3295–3298 (1998). https://doi.org/10.1364/AO.37.003295
  57. Pustelny, S., Schultze, V., Scholtes, T. & Budker, D. Dichroic atomic vapor laser lock with multi-gigahertz stabilization range. Rev. Sci. Instrum. 87, 063107 (2016). https://doi.org/10.1063/1.4952962
  58. Wąsik, G., Gawlik, W., Zachorowski, J. & Zawadzki, W. Laser frequency stabilization by Doppler-free magnetic dichroism. Appl. Phys. B 75, 613–619 (2002).https://doi.org/10.1007/s00340-002-1041-2
  59. Harris, M. L., Cornish, S. L., Tripathi, A. & Hughes, I. G. Optimization of sub-Doppler DAVLL on the rubidium D2 line. J. Phys. B: At. Mol. Opt. Phys. 41, 085401 (2008). https://doi.org/10.1088/0953-4075/41/8/085401
  60. Marchant, A. L. et al. Off-resonance laser frequency stabilization using the Faraday Opt. Lett. 36, 64–66 (2011). https://doi.org/10.1364/OL.36.000064
  61. Walpole, J. N. Semiconductor amplifiers and lasers with tapered gain regions. Opt. Electron. 28, 623–645 (1996). https://doi.org/10.1007/BF00411298
  62. Jechow, A. et al. 1 W tunable near diffraction limited light from a broad area laser diode in an external cavity with a line width of 1.7 MHz. Opt. Commun. 277, 161–165 (2007). https://doi.org/10.1016/j.optcom.2007.05.003
  63. Bayram, S. B. & Coons, R. W. Operation of a frequency-narrowed high-beam quality broad- area laser by a passively stabilized external cavity technique. Rev. Sci. Instrum. 78, 116103 (2007). https://doi.org/10.1063/1.2804015
  64. Sell, J. F., Miller, W., Wright, D., Zhdanov, B. V. & Knize, R. J. Frequency narrowing of a 25 W broad area diode laser. Appl. Phys. Lett. 94, 051115 (2009). https://doi.org/10.1063/1.3079418
  65. Goyal, A. K., Gavrilovic, P. & Po, H. Stable single-frequency operation of a high-power external cavity tapered diode laser at 780 nm. Appl. Phys. Lett. 71, 1296–1298 (1997). https://doi.org/10.1063/1.119876
  66. Wakita, A. & Sugiyama, K. Single-frequency external-cavity tapered diode laser in a double- ended cavity configuration. Rev. Instrum. 71, 1–4 (2000). https://doi.org/10.1063/1.1150150
  67. Chi, M. et al. Tunable high-power narrow-linewidth semiconductor laser based on an external-cavity tapered amplifier. Opt. Express 13, 10589–10596 (2005). https://doi.org/10.1364/OPEX.13.010589
  68. Voigt, D., Schilder, E. C., Spreeuw, R. J. C. & van Linden van den Heuvell, H. B. Characterization of a high-power tapered semiconductor amplifier system. Appl. Phys. B 72, 279–284 (2001). https://doi.org/10.1007/s003400100513
  69. Lang, R. Injection locking properties of a semiconductor laser. IEEE J. Quantum. Electron. 18, 976–983 (1982). https://doi.org/10.1109/JQE.1982.1071632
  70. Blin, S. et al. Phase and spectral properties of optically injected semiconductor lasers. C. Phys. 4, 687–699 (2003). https://doi.org/10.1016/S1631-0705(03)00083-5
  71. Shvarchuck, I., Dieckmann, K., Zielonkowski, M. & Walraven, J. T. M. Broad-area diode-laser system for a rubidium Bose−Einstein condensation experiment. Appl. Phys. B 71, 475–480 (2000). https://doi.org/10.1007/s003400000395
  72. Sasaki, K., Yoneyama, T., Nakamura, T., Sato, S. & Takeyama, A. Semiconductor laser based, injection locking maintaining broad linewidth generated by a direct current modulation of a master laser. Sci. Instrum. 77, 096107 (2006). https://doi.org/10.1063/1.2349595
  73. Wilson, A. C., Sharpe, J. C., McKenzie, C. R., Manson, P. J. & Warrington, D. M. Narrow- linewidth master-oscillator power amplifier based on a semiconductor tapered amplifier. Appl. Opt. 37, 4871–4975 (1998). https://doi.org/10.1364/AO.37.004871
  74. Nyman, R. A. et al. Tapered-amplified antireflection-coated laser diodes for potassium and rubidium atomic-physics experiments. Rev. Sci. Instrum. 77, 033105 (2006). https://doi.org/10.1063/1.2186809
  75. Xiong, Y., Murphy, S., Carlsten, J. L. & Repasky, K. Design and characteristics of a tapered amplifier diode system by seeding with continuous-wave and mode-locked external cavity diode laser. Opt. Eng. 45, 124205 (2006). https://doi.org/10.1117/1.2404925
  76. Bolpasi, V. & von Klitzing, W. Double-pass tapered amplifier diode laser with an output power of 1 W for an injection power of only 200 μw. Rev. Sci. Instrum. 81, 113108 (2010). https://doi.org/10.1063/1.3501966
  77. Kangara, J. C. B. et al. Design and construction of cost-effective tapered amplifier systems for laser cooling and trapping experiments. Am. J. Phys. 82, 805–817 (2014). https://doi.org/10.1119/1.4867376
  78. Hawthorn, C. J. Weber, K. P. & Scholten, R. E. Littrow configuration tunable external cavity diode laser with fixed direction output beam. Rev. Sci. Instrum. 72, 4477–4479 (2001). https://doi.org/10.1063/1.1419217
  79. Kowalski, K. DLC 300 Laser Controller. Operating Manual. Institute of Physics PAS. http://info.ifpan.edu.pl/ON-2/on22/MOT/current_controller.html (Accessed: 30th July 2021)
  80. Kowalski, K. LTC302 Temperature Controller. Operating Manual. Institute of Physics PAS. http://info.ifpan.edu.pl/ON-2/on22/MOT/temperature_controller.html (Accessed: 30th July 2021)
  81. Yashchuk, V. V., Budker, D. & Davis, J. R. Laser frequency stabilization using linear magneto- optics. Rev. Sci. Instrum. 71, 341–346 (2000). https://doi.org/10.1063/1.1150205
  82. Beverini N., Maccioni, E., Marsili, P., Ruffini, A. & Sorrentino. F. Frequency stabilization of a diode laser on the Cs D2 resonance line by the Zeeman effect in a vapor cell. Appl. Phys. B 73, 133– 138 (2001). https://doi.org/10.1007/s003400100618
  83. Donley, E. A., Heavner, T. P., Levi, F., Tataw, M. O. & Jefferts, S. R. Double-pass acousto-optic modulator Rev. Sci. Instrum. 76, 063112 (2005). https://doi.org/10.1063/1.1930095
  84. de Carlos-López, E., López, J. M., López, S., Espinosa, M. G. & Lizama, L. A. Note: Laser frequency shifting by using two novel triple-pass acousto-optic modulator configurations. Rev. Instrum. 83, 116102 (2012). https://doi.org/10.1063/1.4758998
  85. Buchkremer, F. B. J., Dumke, R., Buggle, Ch., Birkl, G. & Termer, W. Low-cost setup for generation of 3 GHz frequency difference phase-locked laser light. Rev. Sci. Instrum. 71, 3306–3308 (2000). https://doi.org/10.1063/1.1287633
  86. Yun, P., Tan, B., Deng, W. & Gu, S. High coherent bi-chromatic laser with gigahertz splitting produced by the high diffraction orders of acousto-optic modulator used for coherent population trapping Rev. Sci. Instrum. 82, 123104 (2011). https://doi.org/10.1063/1.3665986
  87. Gunawardena, M., Hess, P., W. Strait, J. & Majumder, P. K. A frequency stabilization technique for diode lasers based on frequency-shifted beams from an acousto-optic modulator. Rev. Sci. Instrum. 79, 103110 (2008). https://doi.org/10.1063/1.3006386
  88. Liu, Z. & Slavik, R., Optical injection locking: from principle to applications. J. Lightw. Technol. 38, 43–59 (2020). https://doi.org/10.1109/JLT.2019.2945718
  89. Lau, E. K., Wong, L. J. & Wu, M. C. Enhanced modulation characteristics of optical injection- locked lasers: A tutorial. IEEE J. Sel. Top. Quantum Electron. 15, 618–633 (2009). https://doi.org/10.1109/JSTQE.2009.2014779
  90. Vainio, M., Merimaa, M. & Nyholm, K. Modulation transfer characteristics of injection-locked diode Opt. Commun. 267, 455–463 (2006). https://doi.org/10.1016/j.optcom.2006.06.054
  91. Gertsvolf, M. & Rosenbluh, M. Injection locking of a diode laser locked to a Zeeman frequency stabilized laser oscillator. Opt. Commun. 170, 269–274 (1999). https://doi.org/10.1016/S0030-4018(99)00470-8
  92. Smith, D. A. & Hughes, I. G. The role of hyperfine pumping in multilevel systems exhibiting saturated absorption. Am. J. Phys. 72, 631 (2004). https://doi.org/10.1119/1.1652039 
  93. Siddons, P., Adams, C. S., Ge, C. & Hughes, I. G Absolute absorption on rubidium D lines: comparison between theory and experiment. J. Phys. B: At. Mol. Opt. Phys. 41, 155004 (2008). https://doi.org/10.1088/0953-4075/41/15/155004
  94. Haldar, M. K., Coetzee, J. C. & Gan, K. B. Optical frequency modulation and intensity modulation suppression in a master–slave semiconductor laser system with direct modulation of the master laser. IEEE J. Quantum Electron. 41, 280–286 (2005). https://doi.org/10.1109/JQE.2004.841501
  95. Fragkos, A., Bogris, A., Syvridis, D. & Phelan, R. Amplitude noise limiting amplifier for phase encoded signals using injection locking in semiconductor lasers. J. Lightw. Technol. 30, 764–771 (2012). https://doi.org/10.1109/JLT.2011.2178816
  96. Lin, P.-Y., Shiau, B.-W., Hsiao, Y.-F. & Chen, Y.-C. Creation of arbitrary spectra with an acousto-optic modulator and an injection-locked diode laser. Rev. Sci. Instrum. 82, 083108 (2011). https://doi.org/10.1063/1.3626903
  97. Haverkamp, M., Kochem, G. & Boucke, K. Single mode fiber coupled tapered laser module with frequency stabilized spectrum. Proc. SPIE 6876, 68761D1-11 (2008). https://doi.org/10.1117/12.764801
  98. Taskova, E., Gateva, S., Alipieva, E., Kowalski, K., Głódź, M. & Szonert, J. Nonlinear Faraday rotation for optical limitation. Appl. Opt. 43, 4178–4181 (2004). https://doi.org/10.1364/AO.43.004178
  99. Deninger, A., Kraft, S., Lison, F. & Zimmermann, C. Rubidium spectroscopy with 778- to 780- nm distributed feedback laser diodes. Proc. SPIE 5722, 5722–61 (2005). https://doi.org/10.1117/12.590386
  100. Wells, S. R., Miyabe, M. & Hasegawa, S. Design, construction, and characterization of a single unit external cavity diode laser coupled tapered amplifier system for atomic physics. Opt. Laser Technol. 126, 106118 (2020). https://doi.org/10.1016/j.optlastec.2020.106118
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Authors and Affiliations

Jerzy Szonert
1
ORCID: ORCID
Małgorzata Głódź
1
ORCID: ORCID
Krzysztof Kowalski
1
  1. Institute of Physics, Polish Academy of Sciences, al. Lotników 32/46, 02-668 Warsaw, Poland

Assessment of annual high-discharge patterns in Kapuas River using information and complexity measures

Gillang N.N. Gusti Henny Herawati Kiyosi Kawanisi Mohamad B. Al Sawaf Mochammad M. Danial
Journal of Water and Land Development | 2023 | No 57 | 62-68 | DOI: 10.24425/jwld.2023.145336
Keywords El Niño-Southern Oscillation flood pattern information and complexity measures Kapuas River tropical monsoon
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Abstract

A recent study revealed that the amount of rainfall on the Kapuas River has increased over the last 30 years. The increase in rainfall increases the possibility of high discharge events, which might lead to destructive flooding of the Kapuas River and its tributaries. Hence, the ability to characterise the pattern of high discharge events is compulsory for the development and management of the Kapuas River watershed. The main objective of this study was to assess and characterise flood patterns in the Kapuas River watershed. To achieve this objective, we utilised information and complexity measures that consisted of mean information gain ( MIG), effective measure complexity ( EMC) and fluctuation complexity ( FC) in daily water level records from 2002 to 2011 from a gauging station in Sanggau, West Kalimantan Province. The results revealed that flood events in the Kapuas River were mainly generated by the Indo-Australian monsoon, which occurred from December to March. The anomaly in 2010, when intense flood events were observed during the dry season, can be identified as the effect of a strong negative El Niño-Southern Oscillation (ENSO). Additionally, the analysis of the information and complexity measures indicates that: (i) EMC, which reflects the length of flood events, tends to increase along with greater discharge, and (ii) MIG and FC, which denote the degree of randomness and fluctuation of flood events, respectively, tended to have higher values when the number of months without high discharge was less.
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Authors and Affiliations

Gillang N.N. Gusti
1
ORCID: ORCID
Henny Herawati
2
ORCID: ORCID
Kiyosi Kawanisi
1
ORCID: ORCID
Mohamad B. Al Sawaf
3
ORCID: ORCID
Mochammad M. Danial
4
ORCID: ORCID
  1. Hiroshima University, Department of Civil and Environmental Engineering, 1-4-1 Kagamiyama, Higashi-Hiroshima City, 739-8527, Hiroshima, Japan
  2. Tanjungpura University, Department of Civil Engineering, Kalimantan Barat, Indonesia
  3. Kitami Institute of Technology, Department of Engineering, Kitami, Hokkaido, Japan
  4. Tanjungpura University, Department of Ocean Engineering, Kalimantan Barat, Indonesia

Influence of cable length on the vibrating wire sensors dynamic measurements

G. Cieplok W. Karwowski Ł. Bednarski
Archives of Civil Engineering | 2018 | Vol. 64 | No 4/II | 65-76
Keywords vibrating wire sensors structural health monitoring tall ship mast bridge transient states cable connections self-oscillation
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Abstract

The hereby paper discusses the influence of cable length on the SHM systems with the use of vibrating wire dynamic measurements. Vibrating wire sensors are mainly used for measuring stable or slowly changing strains, e.g. system installed on Rędziński Bridge in Wroclaw. From some time applications of these sensors for measuring dynamic deformations are becoming popular. Such tests were conducted on STS Fryderyk Chopin. New solutions generate new problems. In this case: the operational stability of systems exciting wire vibrations. The structure of such sensors and the electric cables length has an essential influence on their operations, what is undertaken in the paper. The subject of investigations constitutes the measuring system based on self-exciting impulse exciter, for which impedance parameters of electric cables and of the vibrating wire sensor were the most essential. The mathematical model of the system, experimental verification of the model as well as the results of theoretical analyses at the application of electric cables of various lengths are presented in the paper.

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Authors and Affiliations

G. Cieplok
W. Karwowski
Ł. Bednarski

Subsynchronous oscillation and its mitigation of VSC-MTDC with doubly-fed induction generator-based wind farm integration

Miaohong Su Haiying Dong Kaiqi Liu Weiwei Zou
Archives of Electrical Engineering | 2021 | vol. 70 | No 1 | 53-72 | DOI: 10.24425/aee.2021.136052
Keywords doubly-fed induction generator eigenvalue analysis multi-channel variable parameter subsynchronous damping controller subsynchronous oscillation voltage source converter based multi-terminal direct current transmission system
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Abstract

Wind power integration through the voltage source converter-based high-voltage direct current (VSC-HVDC) system will be a potential solution for delivering large-scale wind power to the “Three-North Regions” of China. However, the interaction between the doubly-fed induction generator (DFIG) and VSC-HVDC system may cause the risk of subsynchronous oscillation (SSO). This paper establishes a small-signal model of the VSC based multi-terminal direct current (VSC-MTDC) system with new energy access for the problem, and the influencing factors causing SSO are analyzed based on the eigenvalue analysis method. The theoretical analysis results show that the SSO in the system is related to the wind farm operating conditions, the rotor-side controller (RSC) of the DFIG and the interaction of the controller in the VSC-MTDC system. Then, the phase lag characteristic is obtained based on the signal test method, and a multi-channel variable-parameter subsynchronous damping controller (SSDC) is designed via selecting reasonable parameters. Finally, the correctness of the theoretical analysis and the effectiveness of the multi-channel variable-parameter SSDC are verified based on time-domain simulation.
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Bibliography

[1] Tang G.F., HVDC based on voltage source converter, China Electric Power Press (2010).
[2] Li C.S., Li Y.K., Guo J., He P., Research on emergency DC power support coordinated control for hybrid multi-infeed HVDC system, Archives of Electrical Engineering, vol. 61, no. 1, pp. 5–21(2020).
[3] Liu T.Q., Tao Y., Li B.H., Critical problems of wind farm integration via MMC-MTDC system, Power System Technology, vol. 41, no. 10, pp. 3251–3260 (2017).
[4] Wu J.H., Ai Q., Research on multi-terminal VSC-HVDC system for wind-farms, Power System Technology, vol. 33, no. 4, pp. 22–27 (2009).
[5] Chen C., Du W.J., Wang H.F., Review on mechanism of sub-synchronous oscillations caused by gridconnected wind farms in power systems, Southern Power System Technology, vol. 12, no. 1, pp. 84–93 (2018).
[6] Amin M., Molinas M., Understanding the origin of oscillatory phenomena observed between wind farms and HVDC systems, IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 5, no. 1, pp. 378–392 (2017).
[7] Wang W.S., Zhang C., He G.Q., Li G.H., Zhang J.Y., Wang H.J., Overview of research on subsynchronous oscillations in large-scale wind farm integrated system, Power System Technology, vol. 41, no. 4, pp. 1050–1060 (2017).
[8] Jiang Q.R., Wang L., Xie X.R., Study on oscillations of power-electronized power system and their mitigation schemes, High Voltage Engineering, vol. 43, no. 4, pp. 1057–1066 (2017).
[9] Xie X.R., Liu H.K., He J.B., Liu H., Liu W., On new oscillation issues of power system, Proceedings of the CSEE, vol. 38, no. 10, pp. 2821–2828+3133 (2018).
[10] Wang L., Yang Z.H., Lu X.Y., Prokhorow A.V., Stability analysis of a hybrid multi-infeed HVDC system connected between two offshore wind farms and two power grids, IEEE Transactions on Industry Applications, vol. 53, no. 3, pp. 1824–1833 (2017).
[11] Kunjumuhammed L.P., Pal B.C., Oates C., Dyke K.J., Electrical oscillations in wind farm systems: analysis and insight based on detailed modeling, IEEE Transactions on Sustainable Energy, vol. 7, no. 1, pp. 51–61 (2016).
[12] Sun K., Yao W., Wen J.Y., Mechanism and characteristics analysis of subsynchronous oscillation caused by DFIG-based wind farm integrated into grid through VSC-HVDC system, Proceedings of the CSEE, vol. 38, no. 22, pp. 6520–6533 (2018).
[13] Song S.H., Zhao S.Q., Analysis of sub-synchronous oscillation of DFIG-based Wind Farm integrated to grid through VSC-HVDC system based on torque method, Power System Technology, vol. 44, no. 2, pp. 630–636 (2020).
[14] Bian X.Y., Ding Y., Mai K., Zhou Q., Zhao Y., Tang L., Sub-Synchronous oscillation caused by grid-connection of offshore wind farm through VSC-HVDC and its mitigation, Automation of Electric Power Systems, vol. 42, no. 17, pp. 25–39 (2018).
[15] Lyu J., Dong P., Shi G., Cai X., Li X.L., Subsynchronous oscillation and its mitigation of MMC-based HVDC with large doubly-fed induction generator-based wind farm integration, Proceedings of the CSEE, vol. 35, no. 19, pp. 4852–4860 (2015).
[16] Lyu J., Cai X., Amin M., Molinas M., Sub-synchronous oscillation mechanism and its suppression in MMC-based HVDC connected wind farms, IET Generation, Transmission and Distribution, vol. 12, no. 4, pp. 1021–1029 (2018).
[17] Shao B.B., Zhao S.Q., Pei J.K., Li R., Subsynchronous oscillation characteristics analysis of gridconnected direct-drive wind farms via VSC-HVDC system, Power System Technology, vol. 43, no. 9, pp. 3344–3355 (2019).
[18] Chen B.P., Study on characteristics and suppression of sub/super-synchronous oscillation caused by power system with D-PMSG and VSC-HVDC, Wuhan University (2018).
[19] Guo X.S., Li Y.F., Xie X.T., Hou Y.L., Zhang D., Sub-synchronous oscillation characteristics caused by PMSG-based wind plant farm integrated via flexible HVDC system, Proceedings of the CSEE, vol. 40, no. 4, pp. 1149–1160+1407 (2020).
[20] Sun K., Mechanism and characteristics analysis of subsynchronous oscillation caused by DFIG-based wind farm integrated into grid through VSC-HVDC system, Huazhong University of Science and Technology (2018).
[21] He J., Li Q., Qin S.Y., Wang R.M., DFIG wind turbine modeling and validation for LVRT behavior, IEEE PES Innovative Smart Grid Technologies, Tianjin, pp. 1–5 (2012).
[22] Lu X.J., Lin W.X., Wen J.Y., Li Y.F., Wu Y.L., An T., Modularized small signal modeling method for DC grid, Proceedings of the CSEE, vol. 36, no. 11, pp. 2880–2889 (2016).
[23] Kalcon G.O., Adam G.P., Anaya-Lara O., Lo S., Uhlen K., Small-signal stability analysis of multiterminal VSC-based DC transmission systems, IEEE Transactions on Power Systems, vol. 27, no. 4, pp. 1818–1830 (2012).
[24] Zhou G.L., Shi X.C., Fu Ch.,Wei X.G., Zhu X.R., VSC-HVDC discrete model and its control strategy under unbalanced input voltage, Transactions of China Electrotechnical Society, vol. 23, no. 12, pp. 137–143+159 (2008).
[25] Gao B.F., Zhao C.Y., Xiao X.N., Yin W.Y., Guo C.L., Li Y.N., Design and implementation of SSDC for HVDC, High Voltage Engineering, vol. 36, no. 2, pp. 501–506 (2010).
[26] Jiang P., Hu T., Wu X., VSC-HVDC multi-channel additional damping control suppresses subsynchronous oscillation, Electric Power Automation Equipment, vol. 31, no. 9, pp. 27–31 (2011).
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Authors and Affiliations

Miaohong Su
1
ORCID: ORCID
Haiying Dong
1 2
Kaiqi Liu
1
Weiwei Zou
1
  1. School of Automatic and Electrical Engineering, Lanzhou Jiaotong University, China
  2. School of New Energy and Power Engineering, Lanzhou Jiaotong University, China

An approach to suppress high-frequency resonance using model predictive and selective harmonic elimination combined strategy

Sitong Chen Xiaoqiang Chen Ying Wang Ye Xiong
Archives of Electrical Engineering | 2021 | vol. 70 | No 2 | 415-430 | DOI: 10.24425/aee.2021.136993
Keywords CRH5 EMUs and traction power supply coupled system high-frequency oscillation high speed railway model predictive control (MPC) selective harmonic elimination pulse-width modulation (SHEPWM)
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Abstract

High-frequency resonance is a prominent phenomenon which affects the normal operation of the high-speed railway in China. Aiming at this problem, the resonance mechanism is analyzed first. Then, model predictive control and selective harmonic elimination pulse-width modulation (MPC-SHEPWM) combined control strategy is proposed, where the harmonics which cause the resonance can be eliminated at the harmonic source. Besides, the MPC is combined to make the current track the reference in transients. The proposed control has the ability to suppress the resonance while has a faster dynamic performance comparing with SHEPWM. Finally, the proposed MPC-SHEPWM is tested in a simulation model of CRH5 (Chinese Railway High-speed), EMUs (electric multiple units) and a traction power supply coupled system, which shows that the proposed MPC-SHEPWM approach can achieve the resonance suppression and shows a better dynamic performance.
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Bibliography

[1] Mollerstedt E., Bernhardsson B., Out of control because of harmonics-an analysis of the harmonic response of an inverter locomotive, IEEE Control Systems Magazine, vol. 20, no. 4, pp. 70–81 (2000).
[2] Sainz L., Caro M., Caro E., Analytical Study of the Series Resonance in Power Systems With the Steinmetz Circuit, IEEE Transactions on Power Delivery, vol. 24, no. 4, pp. 2090–2098 (2009).
[3] Lee H., Lee C., Jang G., Kwon S., Harmonic analysis of the korean high-speed railway using the eight-port representation model, IEEE Transactions on Power Delivery, vol. 21, no. 2, pp. 979–986 (2006).
[4] Holtz J., Kelin H., The propagation of harmonic currents generated by inverter-fed locomotives in the distributed overhead supply system, IEEE Transactions on Power Electronics, vol. 4, no. 2, pp. 168–174 (1989).
[5] Chang G.W., Lin H.W., Chen S.K., Modeling characteristics of harmonic currents generated by highspeed railway traction drive converters, IEEE Trans. Power Delivery, vol. 19, no. 2, pp. 766–773 (2004).
[6] Hu H., Shao Y., Tang L., Ma J., He Z., Gao S., Overview of Harmonic and Resonance in Railway Electrification Systems, IEEE Transactions on Industry Applications, vol. 54, no. 5, pp. 5227–5245 (2018).
[7] Kolar V., Palecek J., Kocman S. et al., Interference between electric traction supply network and distribution power network - resonance phenomenon, International Conference on Harmonics and Quality of Power, Bergamo, Italy (2010).
[8] Brenna M. et al., Investigation of resonance phenomena in high speed railway supply systems: Theoretical and experimental analysis, Elect. Power Syst. Res., vol. 81, no. 10, pp. 1915–1923 (2011).
[9] Hu H., Gao S., Shao Y., Wang K., He Z., Chen L., Harmonic Resonance Evaluation for Hub Traction Substation Consisting of Multiple High-Speed Railways, IEEE Transactions on Power Delivery, vol. 32, no. 2, pp. 910–920 (2017).
[10] Li J.,Wu M., Molinas M., Song K., Liu Q., Assessing High-Order Harmonic Resonance in Locomotive- Network Based on the Impedance Method, IEEE Access, vol. 7, pp. 68119–68131 (2019).
[11] Hu H., Tao H., Blaabjerg F., Wang X., He Z., Gao S., Train–Network Interactions and Stability Evaluation in High-Speed Railways–Part I: Phenomena and Modeling, IEEE Transactions on Power Electronics, vol. 33, no. 6, pp. 4627–4642 (2018).
[12] Lee H., Kim G., Oh S., Lee C., Optimal design for power quality of electric railway, SICE-ICASE International Joint Conf., Busan, Korea, pp. 3864–3869 (2006).
[13] Hu H., He Z., Gao S., Passive Filter Design for China High-Speed RailwayWith Considering Harmonic Resonance and Characteristic Harmonics, IEEE Transactions on Power Delivery, vol. 30, no. 1, pp. 505–514 (2015).
[14] Zhang X., Chen J., Zhang G., Wang L., Qiu R., Liu Z., An Active Oscillation Compensation Method to Mitigate High-Frequency Harmonic Instability and Low-Frequency Oscillation in Railway Traction Power Supply System, IEEE Access, vol. 6, pp. 70359–70367 (2018).
[15] Holtz J., Krah J.O., Suppression of time-varying resonances in the power supply line of AC locomotives by inverter control, IEEE Transactions on Industrial Electronics, vol. 39, no. 3, pp. 223–229 (1992).
[16] Zhang Y., Xiong J., Kong L., Wang X., A novel in-phase disposition SPWM pulse allocation strategy for cascaded H-bridge inverter, Archives of Electrical Engineering, vol. 67, no. 2, pp. 361–375 (2018).
[17] Cui H., Song W., Fang H., Ge X., Feng X., Resonant harmonic elimination pulse width modulationbased high-frequency resonance suppression of high-speed railways, IET Power Electronics, vol. 8, no. 5, pp. 735–742 (2015).
[18] Song K., Konstantinou G., MingliW., Acuna P., Aguilera R.P., Agelidis V.G.,Windowed SHE–PWM of Interleaved Four-Quadrant Converters for Resonance Suppression in Traction Power Supply Systems, IEEE Transactions on Power Electronics, vol. 32, no. 10, pp. 7870–7881 (2017).
[19] Dahidah M.S.A., Konstantinou G., Agelidis V.G., A Review of Multilevel Selective Harmonic Elimination PWM: Formulations, Solving Algorithms, Implementation and Applications, IEEE Transactions on Power Electronics, vol. 30, no. 8, pp. 4091–4106 (2015).
[20] Rodriguez J. et al., Predictive control of three-phase inverter, Electronics Letters, vol. 40, no. 9, pp. 561–563 (2004).
[21] Aguilera R.P. et al., Selective Harmonic Elimination Model Predictive Control for Multilevel Power Converters, IEEE Transactions on Power Electronics, vol. 32, no. 3, pp. 2416–2426 (2017).
[22] Cui H., Feng X., SongW., Modeling of high-order harmonic load for high-speed train, Electr. Power Equip. Autom., vol. 33, no. 7, pp. 92–99 (2013).
[23] Dolara A., Gualdoni M., Leva S., Impact of high-voltage primary supply lines in the 2 x 25 kV 50 Hz railway system on the equivalent impedance at pantograph terminals, IEEE Transactions on Power Delivery, vol. 27, no. 1, pp. 164–175 (2012).
[24] Dahidah M.S.A., Konstantinou G., Agelidis V.G., A Review of Multilevel Selective Harmonic Elimination PWM: Formulations, Solving Algorithms, Implementation and Applications, IEEE Transactions on Power Electronics, vol. 30, no. 8, pp. 4091–4106 (2015).
[25] Liang T.J., Hoft R.G., Walsh function method of harmonic elimination, Proc. IEEE Appl. Power Electron. Conf., San Diego, CA, USA, Mar. 7–11, pp. 847–853 (1993).
[26] Yang K., Yuan Z., Yuan R., YuW., Yuan J.,Wang J., A Groebner Bases Theory-Based Method for Selective Harmonic Elimination, IEEE Transactions on Power Electronics, vol. 30, no. 12, pp. 6581–6592 (2015).
[27] Kavitha R., Thottungal Rani, WHTD missisation in hybird multilvel inverter biogeographcial based Optimisation, Archives of Electrical Engineering, vol. 63, no. 2, pp. 187–196 (2014).
[28] Rodriguez J. et al., State of the Art of Finite Control Set Model Predictive Control in Power Electronics, IEEE Transactions on Industrial Informatics, vol. 9, no. 2, pp. 1003–1016 (2013).

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Authors and Affiliations

Sitong Chen
1
ORCID: ORCID
Xiaoqiang Chen
1
Ying Wang
1
ORCID: ORCID
Ye Xiong
1
  1. School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou, China

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