Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 18
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

Abstract

In industrial processes electrical motors are serviced after a specific number of hours, even if there is a need for service. This led to the development of early fault diagnostic methods. Paper presents early fault diagnostic method of synchronous motor. This method uses acoustic signals generated by synchronous motor. Plan of study of acoustic signal of synchronous motor was proposed. Two conditions of synchronous motor were analyzed. Studies were carried out for methods of data processing: Line Spectral Frequencies and K-Nearest Neighbor classifier with Minkowski distance. Condition monitoring is useful to protect electric motors and mining equipment. In the future, these studies can be used in other electrical devices.

Go to article

Authors and Affiliations

Adam Glowacz
Download PDF Download RIS Download Bibtex

Abstract

The paper focusses on the analysis of the demagnetisation process of permanent magnets in line-start synchronous motors in dynamic states related to start-up and resynchronisation. A field-circuit model of electromagnetic phenomena was used to analyse the demagnetisation process, taking into account the influence of temperature on the properties of permanent magnets and their resistance to demagnetisation. The results of the conducted research have shown, among other things, that the process of resynchronisation of the motor is much more dangerous from the standpoint of the risk of demagnetisation than the start-up itself.
Go to article

Authors and Affiliations

Tomasz Zawilak
1
ORCID: ORCID
Cezary Jędryczka
2
ORCID: ORCID

  1. Wrocław University of Science and Technology, Department of Electrical Machines, Drives and Measurements, Wybrzeze Wyspianskiego 27, 50-370 Wrocław, Poland
  2. Poznan University of Technology, Institute of Electrical Engineering and Electronics, Piotrowo 3A, 60-965 Poznan, Poland
Download PDF Download RIS Download Bibtex

Abstract

This paper deals with the finite element analysis of the demagnetization process of the line start permanent magnet synchronous motor. Special attention has been paid to demagnetization risk assessment after resynchronization during a short-term supply power outage. The current and torque waveforms have been determined assuming the difference depending initial rotor position angle. It has been demonstrated that the highest demagnetization risk occurs when resynchronization (motor reclosing) is performed whe induced electromotive forces are in anti-phase to the supply voltage waveforms. The effect of cage winding resistance on the risk of demagnetization is examined and discussed.

Go to article

Authors and Affiliations

Tomasz Zawilak
ORCID: ORCID
Download PDF Download RIS Download Bibtex

Abstract

This study presents the dependence of the level and harmonic structure of the cogging torque in permanent magnet synchronous motors (PMSM) to imperfections of permanent magnet (PM) dimensions and positions, which can not be avoided in massproduction. Slightly diverse dimensions and misplacements of PMs are introducing asymmetries in magnetic field distribution which cause additional harmonic components. A finite element method (FEM) and Fast Fourier transform (FFT) were used to calculate cogging torque harmonic components with regard to several combinations of PM assembly imperfections. It has been established and proved that unequal PMs cause magnetic asymmetries which give rise to additional cogging torque harmonic components and consequently increase the total cogging torque. It is also shown that in some particular combinations the influence of an individual PM imprecision could compensate with others due to different phase shifts which can result even in the decrease of cogging torque. Considering presented results it is possible to foresee which additional harmonic components will comprise the cogging torque of mass-produced PMSMs due to PM imperfections. In this way the designers are able to predetermine required manufacturing tolerances to keep the level of cogging torque in a admissible level. Simulation results were verified and confirmed by laboratory tests.

Go to article

Authors and Affiliations

Lovrenc Gašparin
Rastko Fišer
Download PDF Download RIS Download Bibtex

Abstract

The paper deals with construction of single-phase line start permanent magnet synchronous motor. Circuit-field single-phase line start permanent magnet synchronous motor model based on the mass production single-phase induction motor was applied in Maxwell program. Various rotor constructions were taken into account. Influence of the rotor construction on the motor properties was examined. Running motor performances were examined.

Go to article

Authors and Affiliations

Maciej Gwoździewicz
Jan Zawilak
Download PDF Download RIS Download Bibtex

Abstract

This article discusses a system of recognition of acoustic signals of loaded synchronous motor. This software can recognize various types of incipient failures by means of analysis of the acoustic signals. Proposed approach uses the acoustic signals generated by loaded synchronous motor. A plan of study of the acoustic signals of loaded synchronous motor is proposed. Studies include following states: healthy loaded synchronous motor, loaded synchronous motor with shorted stator coil, loaded synchronous motor with shorted stator coil and broken coil, loaded synchronous motor with shorted stator coil and two broken coils. The methods such as FFT, method of selection of amplitudes of frequencies (MSAF-5), Linear Support Vector Machine were used to identify specific state of the motor. The proposed approach can keep high recognition rate and reduce the maintenance cost of synchronous motors.
Go to article

Authors and Affiliations

Adam Glowacz
Download PDF Download RIS Download Bibtex

Abstract

The hybrid excitation synchronous motor (HESM), which aim at combining the advantages of permanent magnet motor and wound excitation motor, have the characteristics of low-speed high-torque hill climbing and wide speed range. Firstly, a new kind of HESM is presented in the paper, and its structure and mathematical model are illustrated. Then, based on a space voltage vector control, a novel flux-weakening method for speed adjustment in the high speed region is presented. The unique feature of the proposed control method is that the HESM driving system keeps the q-axis back-EMF components invariable during the flux-weakening operation process. Moreover, a copper loss minimization algorithm is adopted to reduce the copper loss of the HESM in the high speed region. Lastly, the proposed method is validated by the simulation and the experimental results.

Go to article

Authors and Affiliations

Huang Mingming
Guo Xinjun
Jin Ping
Huang Quanzhen
Liu Yuping
Li Na
Download PDF Download RIS Download Bibtex

Abstract

This paper considers the feasibility of different technologies for an electromagnetic launcher to assist civil aircraft take-off. This method is investigated to reduce the power required from the engines during initial acceleration. Assisted launch has the potential of reducing the required runway length, reducing noise near airports and improving overall aircraft efficiency through reducing engine thrust requirements. The research compares two possible linear motor topologies which may be efficaciously used for this application. The comparison is made on results from both analytical and finite element analysis (FEA).

Go to article

Authors and Affiliations

Luca Bertola
Tom Cox
Patrick Wheeler
Seamus Garvey
Herve Morvan
Download PDF Download RIS Download Bibtex

Abstract

In this paper, a creative dung beetle optimization (CDBO) algorithm is proposed and applied to the offline parameter identification of permanent magnet synchronous motors. First, in order to uniformly initialize the population state and increase the population diversity, a strategy to improve the initialization of the dung beetle population using Singer chaotic mapping is proposed to improve the global search performance; second, in order to improve the local search performance and enhance the convergence accuracy of the algorithm, a new dung beetle position update strategy is designed to increase the spatial search range of the algorithm. Simulation results show that the proposed optimization algorithm can quickly and accurately identify parameters such as resistance, inductance, and magnetic chain of the PMSM, with significant improvements in convergence algebra, identification accuracy and stability.
Go to article

Authors and Affiliations

Xiaoliang Yang
1 2
ORCID: ORCID
Yuyue Cui
1 2
Lianhua Jia
3
Zhihong Sun
3
Peng Zhang
3
ORCID: ORCID
Jiane Zhao
4
Rui Wang
1 2
ORCID: ORCID

  1. School of Electrical and Information Engineer, Zhengzhou University of Light Industry, Zhengzhou, China
  2. Henan Key Lab of Information based Electrical Appliances, Zhengzhou, China
  3. China Railway Engineering Equipment Group Co. Ltd, Zhengzhou, China
  4. School of Electrical and Electronic Engineering, Zhengzhou University of Science and Technology, Zhengzhou, China
Download PDF Download RIS Download Bibtex

Abstract

The aim of the studywas to find an effective method of ripple torque compensation for a direct drive with a permanent magnet synchronous motor (PMSM) without time-consuming drive identification. The main objective of the research on the development of a methodology for the proper teaching a neural network was achieved by the use of iterative learning control (ILC), correct estimation of torque and spline interpolation. The paper presents the structure of the drive system and the method of its tuning in order to reduce the torque ripple, which has a significant effect on the uneven speed of the servo drive. The proposed structure of the PMSM in the dq axis is equipped with a neural compensator. The introduced iterative learning control was based on the estimation of the ripple torque and spline interpolation. The structurewas analyzed and verified by simulation and experimental tests. The elaborated structure of the drive system and method of its tuning can be easily used by applying a microprocessor system available now on the market. The proposed control solution can be made without time-consuming drive identification, which can have a great practical advantage. The article presents a new approach to proper neural network training in cooperation with iterative learning for repetitive motion systems without time-consuming identification of the motor.

Go to article

Authors and Affiliations

Adrian Wójcik
Tomasz Pajchrowski
Download PDF Download RIS Download Bibtex

Abstract

The artificial bee colony (ABC) intelligence algorithm is widely applied to solve multi-variable function optimization problems. In order to accurately identify the parameters of the surface-mounted permanent magnet synchronous motor (SPMSM), this paper proposes an improved ABC optimization method based on vector control to solve the multi-parameter identification problem of the PMSM. Because of the shortcomings of the existing parameter identification algorithms, such as high computational complexity and data saturation, the ABC algorithm is applied for the multi-parameter identification of the PMSM for the first time. In order to further improve the search speed of the ABC algorithm and avoid falling into the local optimum, Euclidean distance is introduced into the ABC algorithm to search more efficiently in the feasible region. Applying the improved algorithm to multi-parameter identification of the PMSM, this method only needs to sample the stator current and voltage signals of the motor. Combined with the fitness function, the online identification of the PMSM can be achieved. The simulation and experimental results show that the ABC algorithm can quickly identify the motor stator resistance, inductance and flux linkage. In addition, the ABC algorithm improved by Euclidean distance has faster convergence speed and smaller steady-state error for the identification results of stator resistance, inductance and flux linkage.
Go to article

Bibliography

[1] Boileau T., Leboeuf N., Nahid-Mobarakeh B., Online identification of PMSM parameters: parameter identifiability and estimator comparative study, IEEE Transactions on Industry Applications, vol. 47, no. 4, pp. 1944–1957 (2011), DOI: 10.1109/TIA.2011.2155010.
[2] Ichikawa S., Tomita M., Doki S., Sensorless control of permanent-magnet synchronous motors using online parameter identification based on system identification theory, IEEE Transactions on Industrial Electronics, vol. 53, no. 2, pp. 363–372 (2006), DOI: 10.1109/TIE.2006.870875.
[3] Jian-fei S., Bao-jun G., Yan-ling L., Research of parameter identification of permanent magnet synchronous motor online, Electric Machines and Control, vol. 22, no. 3, pp. 17–24 (2018), DOI: 10.15938/j.emc.2018.03.003.
[4] Fan S., LuoW., Zou J., A hybrid speed sensorless control strategy for PMSM based on MRAS and fuzzy control, Proceedings of 7th International Power Electronics and Motion Control Conference, Harbin, China, pp. 2976–2980 (2012), DOI: 10.1109/IPEMC.2012.6259344.
[5] Shi Y., Sun K., Huang L., Online identification of permanent magnet flux based on extended Kalman filter for IPMSM drive with position sensorless control, IEEE Transactions on Industrial Electronics, vol. 59, no. 11, pp. 4169–4178 (2012), DOI: 10.1109/TIE.2011.2168792.
[6] Liu K., Zhang J., Adaline neural network based online parameter estimation for surface-mounted permanent magnet synchronous machines, Proceedings of the CSEE, vol. 30, no. 30, pp. 68–73 (2010).
[7] Gu X., Hu S., Shi T., Muti-parameter decoupling online identification of permanent magnet synchronous motor based on neural network, Transactions of China Electrotechnical Society, vol. 30, no. 6, pp. 114–121 (2015).
[8] Liwei Z., Peng Z., Yuefeng L., Parameter identification of permanent magnet synchronous motor based on variable step-size Adaline neural network, Transactions of China Electrotechnical Society, vol. 33, no. z 2, pp. 377–384 (2018).
[9] Peerez J.N.H., Hernandez O.S., Caporal R.M., Parameter identification of a permanent magnet synchronous machine based on current decay test and particle swarm optimization, IEEE Latin America Transactions, vol. 11, no. 5, pp. 1176–1181 (2013), DOI: 10.1109/TLA.2013.6684392.
[10] Liu Z., Wei H., Zhong Q., Parameter estimation for VSI-Fed PMSM based on a dynamic PSO with learning strategies, IEEE Transactions on Power Electronics, vol. 32, no. 4, pp. 3154–3165 (2017), DOI: 10.1109/TPEL.2016.2572186.
[11] Liu Z., Wei H., Li X., Global identification of electrical and mechanical parameters in PMSM drive based on dynamic self-learning PSO, IEEE Transactions on Power Electronics, vol. 33, no. 12, pp. 10858–10871 (2018), DOI: 10.1109/TPEL.2018.2801331.
[12] Sandre-Hernandez O., Morales-Caporal R., Rangel-Magdaleno J., Parameter identification of PMSMs using experimental measurements and a PSO algorithm, IEEE Transactions on Instrumentation and Measurement, vol. 64, no. 8, pp. 2146–2154 (2015), DOI: 10.1109/TIM.2015.2390958.
[13] Liu X., Hu W., Ding W., Research on multi-parameter identification method of permanent magnet synchronous motor, Transactions of China Electrotechnical Society, vol. 35, no. 6, pp. 1198–1207 (2020).
[14] Liu C., Zhou S., Liu K., Permanent magnet synchronous motor multiple parameter identification and temperature monitoring based on binary-modal adaptive wavelet particle swarm optimization, Acta Automatica Sinica, vol. 39, no. 12, pp. 2121–2130 (2013), DOI: 10.3724/SP.J.1004.2013.02121.
[15] Fu X., Gu H., Chen G., Permanent magnet synchronous motors parameters identification based on Cauchy mutation particle swarm optimization, Transactions of China Electrotechnical Society, vol. 29, no. 5, pp. 127–131 (2014).
[16] Guo-han L., Jing Z., Zhao-hua L., Kui-yin Z., Parameter identification of PMSM using improved comprehensive learning particle swarm optimization, Electric Machines and Control, vol. 19, no. 1, pp. 51–57 (2015).
[17] San-yang L., Ping Z., Ming-min Z., Artificial bee colony algorithm based on local search, Control and Decision, vol. 29, no. 1, pp. 123–128 (2014).
[18] Ding X., Liu G., Du M., Efficiency improvement of overall PMSM-Inverter system based on artificial bee colony algorithm under full power range, IEEE Transactions on Magnetics, vol. 52, no. 7, pp. 1–4 (2016), DOI: 10.1109/TMAG.2016.2526614.
[19] Zawilak T., Influence of rotor’s cage resistance on demagnetization process in the line start permanent magnet synchronous motor, Archives of Electrical Engineering, vol. 69, no. 2, pp. 249–258 (2020), DOI: 10.24425/aee.2020.133023.

Go to article

Authors and Affiliations

Chunli Wu
1
ORCID: ORCID
Shuai Jiang
1
Chunyuan Bian
1

  1. College of Information Science and Engineering, Northeastern University, China
Download PDF Download RIS Download Bibtex

Abstract

The paper presents a method of determining the efficiency of the slewing drive system applied in tower cranes. An algorithm for the proper selection of a permanent magnet synchronous motor (PMSM) for crane applications is presented. In the first stage of our research the proper PMSM was proposed on the basis of the simulation calculation. Next, the PM motor was examined on a special test bench. The experimental setup allows determining major electrical and mechanical parameters of the motor drive system. The applied slewing system consists of: an inverter, gear, cable drum and a permanent magnet motor. The performance and efficiency of the system were experimentally determined. Selected results of the experimental measurement are presented and discussed.
Go to article

Bibliography

[1] Gansen A.U., Chokkalingam L.N., Self-start synchronous reluctance motor new rotor designs and its performance characteristic, International Transaction on Electrical Energy Systems, vol. 29, no. 11, pp. 1–22 (2019).
[2] Resa J., Cortes D., Marquez-Rubio J.F., Navarro D., Reduction of induction motor energy consumption via variable velocity and flux references, Electronics, vol. 8, no. 740, pp. 1–14 (2019).
[3] Belmans R., Bisschots F., Trimmer R., Practical design considerations for braking problems in overhead crane drives, Annual Meetings of IEEE Industry Applications Society – IAS, vol. 1, pp. 473–479 (1993).
[4] Baranski M., FE analysis of coupled electromagnetic-thermal phenomena in the squirrel cage motor working at hight ambient temperature, COMPEL, vol. 38, no. 4, pp. 1120–1132 (2019).
[5] Kometani H., Sakabe S., Nakanishi K., 3-D electro-magnetic analyses of a cage induction motor with rotor skew, IEEE Transactions on Energy Conversion, vol. 11, no. 2, pp. 331–337 (1996).
[6] Torrent M., Perat J.I., Jimenez J.A., Permanent magnet synchronous motor with different rotor structures for traction motor in high speed trains, Energies, vol. 11, no. 1549, pp. 1–17 (2018).
[7] Knypinski Ł., Nowak L., Demenko A., Optimization of the synchronous motor with hybrid permanent magnet excitation system, COMPEL, 2015, vol. 34, no. 2, pp. 448–455 (2015).
[8] Zawilak T., Influence of rotor’s cage resistance on demagnetization process in the line start permanent magnet synchronous motor, Archives of Electrical Engineering, vol. 69, no. 2, pp. 249–258 (2020).
[9] Knypinski Ł., Pawełoszek K., Le Manech Y., Optimization of low-power line-start PM motor using gray wolf metaheuristic algorithm, Energies, vol. 13, no. 5, pp. 1–11 (2020).
[10] Dorell D.G., Popescu M., Evans L., Staton D.A., Knight A.M., Comparison of the permanent magnet drive motor with a cage induction motor design for a hybrid electric vehicle, Proceedings of International Power Electronics Conference – ICCE ASIA, pp. 1–6 (2010), DOI: 10.1109/IPEC.2010.5543566.
[11] Baranski M., Szel˛agW., Łyskawinski W., An analysis of a start-up process in LSPMSMs with aluminum and copper rotor bars considering the coupling of electromagnetic and thermal phenomena, Archives of Electrical Engineering, vol. 68, no. 4, pp. 933–946 (2019).
[12] Slusarek B., Kapelski D., Antal L., Zalas P., Gwozdziewicz M., Synchronous motor with hybrid permanent magnets on the rotor, Sensors, vol. 14, pp. 12425–12436 (2014).
[13] Jedryczka C., Szel˛ag W., Piech J., Multiphase permanent magnet synchronous motors with fractional slot windings, COMPEL, vol. 35, no. 6, pp. 1937–1948 (2016).
[14] Wardach M., Pałka R., Paplicki P., Bronisławski M., Novel hybrid excited machine with flux barriers in rotor structure, COMPEL, vol. 37, no. 4, pp. 1489–1499 (2018).
[15] Młynarek P., Łukaniszyn M., Jagiełła M., Kowol M., Modelling of heat transfer in low-power IPM synchronous motors, IET Science, Measurement and Technology, vol. 12, no. 8, pp. 1066–1073 (2018).
[16] Rebelo J.M., Silvestre M.A.R., Development of a coreless permanent magnet synchronous motor for a battery electric shell eco marathon prototype vehicle, Open Engineering, vol. 8, no. 1, pp. 382–390 (2018).
[17] Knypinski Ł., Krupinski J., The energy conversion efficiency in the trolley travelling drive system in tower cranes, Proceedings of 15-th Selected Issue of Electrical Engineering and Electronics – WZEE, pp. 1–4 (2020), DOI: 10.1109/WZEE48932.2019.8979940.
[18] Egrov A., Kozlow K., Belogusev V., Method for evaluation of the chain derive efficiency, Journal of Applied Engineering Science, vol. 341, pp. 277–282 (2015).
[19] Janaszek M., The analysis of the influence unequal parameters of motors on the work of multimotors traction drive, Journal of the Electrical Engineering Institute (in Polish), vol. 286, pp. 1–26 (2015).
[20] Dambrauskas K., Vanagas J., Zimnickas T., Kalvaitisand A., Ažubalis K., A method for efficiency determination of permanent magnet synchronous motor, Energies, vol. 13, no. 1004, pp. 1–15 (2020).
[21] Knypinski Ł., Krupinski J., Application of the permanent magnet synchronous motors for tower cranes, Przegląd Elektrotechniczny, vol. 96, no. 1, pp. 27–30 (2020), DOI: 10.15199/48.2020.01.07.
[22] Geng S., Zhang Y., Qiu H., Yang R., Yi R., Influence of harmonic voltage coupling on torque ripple of permanent magnet synchronous motor, Archives of Electrical Engineering, vol. 68, no. 2, pp. 399–410 (2019).
[23] Dong S., Zhang Q., Ma H., Wang R., Design for the interior permanent magnet synchronous motor drive system based on the Z-source inverter, Energies, vol. 12, no. 3350, pp. 1–14 (2019).
[24] Chen Z., Zhang H., Tu W., Luo G., Manoharan D., Kennel R., Sensorless control for permanent magnet synchronous motor in rail transient applications using segmented synchronous modulation, IEEE Access, vol. 7, pp. 76669–7667 (2019).
[25] Putz Ł., Bednarek K., Kasprzyk L., Analysis of higher harmonics generated by LED lamps, Przegląd Elektrotechniczny, vol. 96, no. 4, pp. 90–93 (2020).
[26] https://www.krupinskicranes.com, accessed July 2020.
Go to article

Authors and Affiliations

Łukasz Knypiński
1
ORCID: ORCID
Jacek Krupiński
2

  1. Poznan University of Technology, Poland
  2. Krupinski Cranes, Poland
Download PDF Download RIS Download Bibtex

Abstract

The popularity of high-efficiency permanent magnet synchronous motors in drive systems has continued to grow in recent years. Therefore, also the detection of their faults is becoming a very important issue. The most common fault of this type of motor is the stator winding fault. Due to the destructive character of this failure, it is necessary to use fault diagnostic methods that facilitate damage detection in its early stages. This paper presents the effectiveness of spectral and bispectrum analysis application for the detection of stator winding faults in permanent magnet synchronous motors. The analyzed diagnostic signals are stator phase current, stator phase current envelope, and stator phase current space vector module. The proposed solution is experimentally verified during various motor operating conditions. The object of the experimental verification was a 2.5 kW permanent magnet synchronous motor, the construction of which was specially prepared to facilitate inter-turn short circuits modelling. The application of bispectrum analysis discussed so far in the literature has been limited to vibration signals and detecting mechanical damages. There are no papers in the field of motor diagnostic dealing with the bispectrum analysis for stator winding fault detection, especially based on stator phase current signal.
Go to article

Authors and Affiliations

Przemysław Pietrzak
1
ORCID: ORCID
Marcin Wolkiewicz
1
ORCID: ORCID

  1. Wrocław University of Science and Technology, Department of Electrical Machines, Drives and Measurements, Wybrzeze Wyspia ˙ nskiego 27, ´ 50-370 Wrocław, Poland
Download PDF Download RIS Download Bibtex

Abstract

The paper presents a novel hybrid cuckoo search (CS) algorithm for the optimization of the line-start permanent magnet synchronous motor (LSPMSM). The hybrid optimization algorithm developed is a merger of the heuristic algorithm with the deterministic Hooke–Jeeves method. The hybrid optimization procedure developed was tested on analytical benchmark functions and the results were compared with the classical cuckoo search algorithm, genetic algorithm, particle swarm algorithm and bat algorithm. The optimization script containing a hybrid algorithm was developed in Delphi Tiburón. The results presented show that the modified method is characterized by better accuracy. The optimization procedure developed is related to a mathematical model of the LSPMSM. The multi-objective compromise function was applied as an optimality criterion. Selected results were presented and discussed.
Go to article

Authors and Affiliations

Łukasz Knypiński
1
ORCID: ORCID

  1. Poznan University of Technology, Institute of Electrical Engineering and Electronics, Piotrowo 3a, 60-965 Poznan, Poland
Download PDF Download RIS Download Bibtex

Abstract

In recent years there has been an increasing demand for electric vehicles due to their attractive features including low pollution and increase in efficiency. Electric vehicles use electric motors as primary motion elements and permanent magnet machines found a proven record of use in electric vehicles. Permanent magnet synchronous motor (PMSM) as electric propulsion in electric vehicles supersedes the performance compared to other motor types. However, in order to eliminate the cumbersome mechanical sensors used for feedback, sensorless control of motors has been proposed. This paper proposes the design of sliding mode observer (SMO) based on Lyapunov stability for sensorless control of PMSM. The designed observer is modeled with a simulated PMSM model to evaluate the tracking efficiency of the observer. Further, the SMO is coded using MATLAB/Xilinx block models to investigate the performance at real-time.
Go to article

Authors and Affiliations

Soundirarajan Navaneethan
1
Srinivasan Kanthalakshmi
2
S. Aandrew Baggio

  1. Department of Instrumentation and Control Systems Engineering, PSG College of Technology, Coimbatore, 641004, Tamilnadu, India
  2. Department of Electrical and Electronics Engineering, PSG College of Technology, Coimbatore, 641004, Tamilnadu, India
Download PDF Download RIS Download Bibtex

Abstract

The synchronisation of a complex chaotic network of permanent magnet synchronous motor systems has increasing practical importance in the field of electrical engineering. This article presents the control design method for the hybrid synchronization and parameter estimation of ring-connected complex chaotic network of permanent magnet synchronous motor systems. The design of the desired control law is a challenging task for control engineers due to parametric uncertainties and chaotic responses to some specific parameter values. Controllers are designed based on the adaptive integral sliding mode control to ensure hybrid synchronization and estimation of uncertain terms. To apply the adaptive ISMC, firstly the error system is converted to a unique system consisting of a nominal part along with the unknown terms which are computed adaptively. The stabilizing controller incorporating nominal control and compensator control is designed for the error system. The compensator controller, as well as the adopted laws, are designed to get the first derivative of the Lyapunov equation strictly negative. To give an illustration, the proposed technique is applied to 4-coupled motor systems yielding the convergence of error dynamics to zero, estimation of uncertain parameters, and hybrid synchronization of system states. The usefulness of the proposed method has also been tested through computer simulations and found to be valid.
Go to article

Bibliography

  1.  A.C. Fowler, J.D. Gibbon, and M.J. McGuinness, “The complex Lorenz equations”, Physica D 4, 139–163 (1982).
  2.  P. Liu, H. Song, and X. Li, “Observe-based projective synchronization of chaotic complex modified Van Der Pol-Duffing oscillator with application to secure communication”, J. Comput. Nonlinear Dyn. 10, 051015 (2015).
  3.  G.M. Mahmoud and A.A. Shaban, “On periodic solutions of parametrically excited complex non-linear dynamical systems”, Physica A 278(3‒4), 390–404 (2000).
  4.  G.M. Mahmoud and A.A. Shaban, “Periodic attractors of complex damped non-linear systems”, Int. J. Non-Linear Mech. 35(2), 309–323 (2000).
  5.  G.M. Mahmoud, “Periodic solutions of strongly non-linear Mathieu oscillators”, Int. J. Non-Linear Mech. 32(6), 1177–1185 (1997).
  6.  G.M. Mahmoud and E.E. Mahmoud, “Lag synchronization of hyperchaotic complex nonlinear systems”, Nonlinear Dynamics 67, 1613– 1622 (2012).
  7.  P. Liu and S. Liu, “Anti-synchronization between different chaotic complex systems”, Phys. Scr. 83, 065006 (2011).
  8.  S. Liu and P. Liu, “Adaptive anti-synchronization of chaotic complex nonlinear systems with unknown parameters”, Nonlinear Anal.-Real World Appl. 12, 3046–3055 (2011).
  9.  N. Siddique and F.U. Rehman, “Parameter Identification and Hybrid Synchronization in an Array of Coupled Chaotic Systems with Ring Connection: An Adaptive Integral Sliding Mode Approach”, Math. Probl. Eng. 2018, 6581493 (2018).
  10.  G.M. Mahmoud, E.E. Mahmoud, and A.A. Arafa, “Projective synchronization for coupled partially linear complex-variable systems with known parameters”, Math. Meth. Appl. Sci. 40(4), 1214–1222 (2017).
  11.  D.W. Qian, Y.F Xi, and S.W. Tong, “Chaos synchronization of uncertain coronary artery systems through sliding mode”, Bull. Pol. Acad. Sci. Tech. Sci. 67(3), 455–462 (2019).
  12.  G.M. Mahmoud, E.E. Mahmoud, and A.A. Arafa, “On modified time delay hyperchaotic complex Lü system”, Nonlinear Dynamics 80(1‒2), 855–869 (2015).
  13.  G.M. Mahmoud, T. Bountis, M.A. Al-Kashif, and A.A. Shaban, “Dynamical properties and synchronization of complex nonlinear equations for detuned lasers”, Dynam. Syst. 24(1), 63–79 (2009).
  14.  J.-B. Hu, H. Wei, Y.-F. Feng, and X.-B. Yang, “Synchronization of fractional chaotic complex networks with delay”, Kybernetika 55, 203–215 (2019).
  15.  N.A. Almohammadi, E.O. Alzahrani, and M.M. El-Dessoky, “Combined modified function projective synchronization of different systems through adaptive control”, Arch. Control Sci. 29, 133–146 (2019).
  16.  H. Su, Z. Rong, M.Z.Q. Chen, X. Wang, G. Chen and H. Wang, “Decentralized adaptive pinning control for cluster synchronization of complex dynamical networks”, IEEE Trans. Cybern. 43, 2182–2195 (2013).
  17.  A. Khan and U. Nigar, “Sliding mode disturbance observer control based on adaptive hybrid projective compound combination synchronization in fractional-order chaotic systems”, Int. J. Control Autom. Syst. 31, 885–899 (2020).
  18.  G.M. Mahmoud, E.A. Mansour, and T.M. Abed-Elhameed, “On fractional-order hyperchaotic complex systems and their generalized function projective combination synchronization”, Optik 130, 398–406 (2017).
  19.  S. Wang, X. Wang, X. Wang, and Y. Zhou, “Adaptive generalized combination complex synchronization of uncertain real and complex nonlinear systems”, AIP Adv. 6, 045011 (2016).
  20.  J. Zhou, A. Oteafy, and N. Smaoui, “Adaptive synchronization of an uncertain complex dynamical network”, IEEE Trans. Autom. Control 51, 652–656 (2006).
  21.  X. Chen, J. Qiu, J. Cao, and H. He, “Hybrid synchronization behavior in an array of coupled chaotic systems with ring connection”, Neurocomputing 173, 1299–1309 (2016).
  22.  F. Zhang, C. Mu, X. Wang, I. Ahmed, and Y. Shu, “Solution bounds of a new complex PMSM system”, Nonlinear Dynamics 74, 1041–1051 (2013).
  23.  Y.Wang, Y. Fan, Q.Wang, and Y. Zhang, “Stabilization and synchronization of complex dynamical networks with different dynamics of nodes via decentralized controllers”, IEEE Trans. Circuits Syst. I-Regul. Pap. 59, 1786–1795 (2012).
  24.  L. Zarour, K. Abed, M. Hacil, and A Borni, “Control and optimisation of photovoltaic water pumping system using sliding mode”, Bull. Pol. Acad. Sci. Tech. Sci. 67(3), 605–611 (2019).
  25.  N. Siddique, F.U. Rehman, M. Wasif, W. Abbasi, and Q. Khan, “Parameter Estimation and Synchronization of Vaidyanathan Hyperjerk Hyper-Chaotic System via Integral Sliding Mode Control”, 2018 AEIT Conference IEEE, 1–5 (2018).
  26.  K. Urbanski, “A new sensorless speed control structure for PMSM using reference model”, Bull. Pol. Acad. Sci. Tech. Sci. 65(4), 489–496 (2017).
  27.  X. Sun, Z. Shi, Y. Zhou, W. Zebin, S. Wang,B. Su, L. Chen, and K. Li, “Digital control system design for bearingless permanent magnet synchronous motors”, Bull. Pol. Acad. Sci. Tech. Sci. 66(5), 687–698 (2018).
  28.  T. Tarczewski, M. Skiwski, L.J. Niewiara, and L.M. Grzesiak, “High-performance PMSM servo-drive with constrained state feedback position controller”, Bull. Pol. Acad. Sci. Tech. Sci. 66(1), 49–58 (2018).
  29.  W. Xing-Yuan and Z. Hao, “Backstepping-based lag synchronization of a complex permanent magnet synchronous motor system”, Chin. Phys. B 22, 048902 (2013).
  30.  Z. Zhang, Z. Li, M.P. Kazmierkowski, J. Rodríguez, and R. Kennel, “Robust Predictive Control of Three-Level NPC Back-to-Back Power Converter PMSG Wind Turbine Systems With Revised Predictions”, IEEE Trans. Power Electron. 33(11), 9588– 9598 (2018).
  31.  N. Hoffmann, F.W. Fuchs, M.P. Kazmierkowski, and D. Schröder, “Digital current control in a rotating reference frame – Part I: System modeling and the discrete time-domain current controller with improved decoupling capabilities”, IEEE Trans. Power Electron. 31(7), 5290–5305 (2016).
  32.  H. Won, Y.-K. Hong, M. Choi, H.-s. Yoon, S. Li and T. Haskew, “Novel Efficiency-shifting Radial-Axial Hybrid Interior Permanent Magnet Sychronous Motor for Electric Vehicle”, 2020 IEEE Energy Conversion Congress and Exposition (ECCE), Detroit, USA, 2020, pp. 47–52.
  33.  C. Jiang and S. Liu, “Synchronization and Antisynchronization of-Coupled Complex Permanent Magnet Synchronous Motor Systems with Ring Connection”, Complexity 4, 1–15 (2017).
  34.  M. Karabacak and H.I. Eskikurt, “Speed and current regulation of a permanent magnet synchronous motor via nonlinear and adaptive backstepping control”, Math. Comput. Model. 53, 2015–2030 (2011).
Go to article

Authors and Affiliations

Nazam Siddique
1
ORCID: ORCID
Fazal U. Rehman
1

  1. Capital University of Science and Technology, Islamabad Expressway, Kahuta Road, Zone-V Islamabad, Pakistan
Download PDF Download RIS Download Bibtex

Abstract

Inter-turn short circuit (ITSC) is a frequent fault of interior permanent magnet synchronous motors (IPMSM). If ITSC faults are not promptly monitored, it may result in secondary faults or even cause extensive damage to the entire motor. To enhance the reliability of IPMSMs, this paper introduces a fault diagnosis method specifically designed for identifying ITSC faults in IPMSMs. The sparse coefficients of phase current and torque are solved by clustering shrinkage stage orthogonal matching tracking (CcStOMP) in the greedy tracking algorithm.The CcStOMP algorithm can extract multiple target atoms at one time, which greatly improves the iterative efficiency. The multiple features are utilized as input parameters for constructing the random forest classifier. The constructed random forest model is used to diagnose ITSC faults with the results showing that the random forest model has a diagnostic accuracy of 98.61% using all features, and the diagnostic accuracy of selecting three of the most important features is still as high as 97.91%. The random forest classification model has excellent robustness that maintains high classification accuracy despite the reduction of feature vectors, which is a great advantage compared to other classification algorithms. The combination of greedy tracing and the random forest is not only a fast diagnostic model but also a model with good generalisation and anti-interference capability. This non-invasive method is applicable to monitoring and detecting failures in industrial PMSMs.
Go to article

Authors and Affiliations

Jianping Wang
1
Jian Ma
1
ORCID: ORCID
Dean Meng
1
Xuan Zhao
1
Kai Zhang
1
Qiquan Liu
1
Kejie Xu
1

  1. School of Automobile, Chang’an University, Xi’an 710064, China

This page uses 'cookies'. Learn more