Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 28
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

Abstract

The LQR (linear quadratic regulator) control problem subject to singular system constitutes a optimization problem in which one must be find an optimal control that satisfy the singular system and simultaneously to optimize the quadratic objective functional. In this paper we establish a sufficient condition to obtain the optimal control of discounted LQR optimization problem subject to disturbanced singular system where the disturbance is time varying. The considered problem is solved by transforming the discounted LQR control problem subject to disturbanced singular system into the normal LQR control problem. Some available results in literatures of the normal LQR control problem be used to find the sufficient conditions for the existence of the optimal control for discounted LQR control problem subject to disturbanced singular system. The final result of this paper is in the form a method to find the optimal control of discounted LQR optimization problem subject to disturbanced singular system. The result shows that the disturbance is vanish with the passage of time.

Go to article

Authors and Affiliations

Lyra Yulianti
Admi Nazra
Zulakmal
Arifah Bahar
Muhafzan
Download PDF Download RIS Download Bibtex

Abstract

The discourse on homosexually has largely remained Euro-American with a focus on human right of African homosexuals residing in Africa. However, current debates in Africa have centered on the cultural acceptability, legality as well as mental health concerns presumed to be associated with homosexuality. The paper approaches the issue of homosexuality from a perspective that is sensitive to the cultural context of Ghana and also through a non-Euro-American lens. The author attempts to address some of the misunderstanding about the legal status of homosexuals and the negative attitudes in Ghana. The paper concludes that Ghanaians face a paradox of accepting homosexuality because it cannot be understood to further growth of human society from their perspective. Similarly, if Ghanaians view homosexuality as a mental health issue, then it is more appropriate to decriminalize it as it is not appropriate to criminalize mental disorders. Reconceptualizing the issue as a human rights one in which both anti- and pro-homosexual religious and sexual rights respectively are accommodated may be more progressive than promoting one set of rights at the expense of the other. Though Ghana is the focus of this paper, it is believed that the discussions presented are applicable to the rest of Africa and other non-Western societies.

Go to article

Authors and Affiliations

Seth Oppong
Download PDF Download RIS Download Bibtex

Abstract

Phytosociological studies carried out in the forests of Silesian Upland and Głubczyce Plateau during the years 1994-2000 showed a widespread distribution of Impatiens parv!flora. It ranges from coniferous and mixed forests to alder carrs, riverside carrs, oak-hornbeam phytocoenoses, and beechwood associations. The optimal conditions for Impatiens parviflora are those found in Ti/io-Carpinetum typicum. Nevertheless, the highest percentage cover of that species occurred in heavily degenerated communities which were the result of clear-felling and tree planting.
Go to article

Authors and Affiliations

Damian Chmura
Anna Orczewska
Download PDF Download RIS Download Bibtex

Abstract

The method of a phase shift angle measurement using conditional averaging of delayed signal absolute value (CAAV) is presented in this paper. The input sinusoidal signal x(t) is without noise. White noise with normal distribution and band limited to low frequencies has been applied as disturbance of delayed sinusoidal signal z(t). Noise n(t) - N(0, σn) is added to the delayed signal - the noised and delayed signal z(t) is obtained. The phase angle shift is proportional to time location of CAAV's minimum (minimum of the characteristic of conditional averaging of delayed signal's absolute value). The phase angle shift can be determined on the basis of conditional averaging value of elaborated algorithm. The characteristics of conditional average of delayed signal's absolute value in the surrounding of the minimum of this function (the results of practical investigations and theoretical calculation) are presented. The experimental variance of characteristic CAAV in surroundings of the minimum (obtained from practical investigations and calculation) is illustrated in the paper. The algorithms of conditional averaging have been elaborated and practically realized in the LabVIEW environment.

Go to article

Authors and Affiliations

Adam Kowalczyk
Anna Szlachta
Download PDF Download RIS Download Bibtex

Abstract

The wavelet transform has been successfully used in the area of power quality analysis. There are many published papers with methods for power quality disturbance classification or harmonics measurement, which use wavelet transform. However, the properties of the wavelet transform can drastically vary from the choice of the wavelet. In this paper we analyze the influence of the choice of the wavelet to the accuracy of the power quality classification method and to high frequency harmonics measurements. Additionally to the well known wavelet filters we introduce near perfect reconstruction filter banks. The simulation results indicate that these filter banks are a good choice for classification of power quality disturbances, especially in the presence of noise and for high frequency harmonics measurements

Go to article

Authors and Affiliations

Dimitar Taskovski
Ljubica Koleva
Aleksandar Milchevski
Vladimir Dimcev
Download PDF Download RIS Download Bibtex

Abstract

Automation of earth moving machineries is a widely studied problem. This paper focusses on one of the main challenges in automation of the earth moving industry, estimation of loading torque acting on the machinery. Loading torque acting on the excavation machinery is a very significant aspect in terms of both machine and operator safety. In this study, a disturbance observer-assisted control system for the estimation of loading torque acting on a robotic backhoe during excavation process is presented. The proposed observer does not use any acceleration measurements, rather, is proposed as a function of joint velocity. Numerical simulations are performed to demonstrate the effectiveness of the proposed control scheme in tracking the reaction torques for a given dig cycle. Co-simulation experiments demonstrate robust performance and accurate tracking of the proposed control in both disturbance torque and position tracking. Further, the performance and sensitivity of the proposed control are also analyzed through the help of performance error quantifiers, the root-mean-square (RMS) values of the position and disturbance tracking errors.

Go to article

Bibliography

[1] R.C. Winck, M. Elton, and W.J. Book. A practical interface for coordinated position control of an excavator arm. Automation in Construction, 51:46–58, 2015. doi: 10.1016/j.autcon.2014.12.012.
[2] D. Wang, L. Zheng, H. Yu, W. Zhou, and L. Shao. Robotic excavator motion control using a nonlinear proportional-integral controller and cross-coupled pre-compensation. Automation in Construction, 64:1-6, 2016. doi: 10.1016/j.autcon.2015.12.024.
[3] H. Feng, C. Yin, W. Weng, W. Ma, J. Zhou, W. Jia, and Z. Zhang. Robotic excavator trajectory control using an improvedGAbased PID controller. Mechanical Systems and Signal Processing, 105:153–168, 2018. doi: 10.1016/j.ymssp.2017.12.014.
[4] P. Saeedi, P.D. Lawrence, D.G. Lowe, P. Jacobsen, D. Kusalovic, K. Ardron, and P.H. Sorensen. An autonomous excavator with vision-based track-slippage control. IEEE Transactions on Control Systems Technology, 13(1):67–84, 2005. doi: 10.1109/TCST.2004.838551.
[5] D. Kim, J. Kim, K. Lee, C. Park, J. Song, and D. Kang. Excavator tele-operation system using a human arm. Automation in Construction, 18(2):173–182, 2009. doi: 10.1016/j.autcon.2008.07.002.
[6] J. Yoon and A. Manurung. Development of an intuitive user interface for a hydraulic backhoe. Automation in Construction, 19(6):779–790, 2010. doi: 10.1016/j.autcon.2010.04.002.
[7] S. Dadhich, U. Bodin, and U. Andersson. Key challenges in automation of earth-moving machines. Automation in Construction, 68:212–222, 2016. doi: 10.1016/j.autcon.2016.05.009.
[8] Y. Liu, M.S. Hasan, and H.-N. Yu. Modelling and remote control of an excavator. International Journal of Automation and Computing, 7(3):349–358, 2010. doi: 10.1007/s11633-010-0514-8.
[9] S. Kim, J. Park, S. Kang, P.Y. Kim, and H.J. Kim.Arobust control approach for hydraulic excavators using μ-synthesis. International Journal of Control, Automation and Systems, 16(4):1615–1628, 2018. doi: 10.1007/s12555-017-0071-9.
[10] Q.H. Nguyen, Q.P. Ha, D.C. Rye, and H.F. Durrant-Whyte. Force/position tracking for electrohydraulic systems of a robotic excavator. In Proceedings of the 39th IEEE Conference on Decision and Control, volume 5, pages 5224–5229, Sydney, Australia, 12-15 Dec. 2000. doi: 10.1109/CDC.2001.914787.
[11] Q. P. Ha, Q.H. Nguyen, D.C. Rye, and H.F. Durrant-Whyte. Impedance control of a hydraulically actuated robotic excavator. Automation in Construction, 9(5-6):421–435, 2000. doi: 10.1016/S0926-5805(00)00056-X.
[12] Q. Ha, M. Santos, Q. Nguyen, D. Rye, and H. Durrant-Whyte. Robotic excavation in construction automation. IEEE Robotics & Automation Magazine, 9(1):20–28, 2002. doi: 10.1109/100.993151.
[13] S.E. Salcudean, S. Tafazoli, P.D. Lawrence, and I. Chau. Impedance control of a teleoperated mini excavator. In 1997 8th International Conference on Advanced Robotics. Proceedings. ICAR’97, pages 19–25, Monterey, USA, 7-9 July 1997. doi: 10.1109/ICAR.1997.620156.
[14] S. Tafazoli, S.E. Salcudean, K. Hashtrudi-Zaad, and P.D. Lawrence. Impedance control of a teleoperated excavator. IEEE Transactions on Control System Technology, 10(3):355–367, 2002. doi: 10.1109/87.998021.
[15] M.D. Elton and W.J. Book. Comparison of human-machine interfaces designed for novices teleoperating multi-DOF hydraulic manipulators. In 2 011 RO-MAN Symposium, pages 395–400, Atlanta, USA, 31 July – 3 Aug. 2011. doi: 10.1109/ROMAN.2011.6005250.
[16] M.E. Kontz. Haptic Control of Hydraulic Machinery Using Proportional Valves. Ph.D Thesis, School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, USA, 2007.
[17] B. Frank, L. Skogh, R. Filla, A. Fröberg, and M. Alaküla. On increasing fuel efficiency by operator assistant systems in a wheel loader. In Proceedings of International Conference on Advanced Vehicle Technologies and Integration, pages 155–161, Changchun, China, 2012. doi: 10.13140/RG.2.1.3129.1362.
[18] H. Cannon and S. Singh. Models for automated earthmoving. In Experimental Robotics VI, pages 163–172, Springer, London 2000. doi: 10.1007/BFb0119395.
[19] M.W. Spong and M. Vidyasagar. Robot Dynamics and Control. John Wiley & Sons, 1989.
[20] M. Bodur, H. Zontul, A. Ersak, A.J. Koivo, H.O. Yurtseven, E. Kocaoglan, and G. Pasamehmetoglu. Dynamic cognitive force control for an automatic land excavation robot. In Proceedings of MELECON ’94. Mediterranean Electrotechnical Conference, pages 703–706, Antalya, Turkey, 12-14 April 1994. doi: 10.1109/MELCON.1994.380908.
[21] A.J. Koivo, M. Thoma, E. Kocaoglan, and J. Andrade-Cetto. Modeling and control of excavator dynamics during digging operation. Journal of Aerospace Engineering, 9(1):10–18, 1996. doi: 10.1061/(ASCE)0893-1321(1996)9:1(10).
[22] S. Li, J. Yang, W.H. Chen, and X. Chen. Disturbance Observer Based Control: Methods and Applications. CRC Press, 2014.
[23] S. Mohan and J. K. Mohanta. Dual integral sliding mode control loop for mechanical error correction in trajectory-tracking of a planar 3-PRP parallel manipulator. Journal of Intelligent & Robotic Systems, 89(3-4):371–385, 2018. doi: 10.1007/s10846-017-0553-2.
[24] S. Mohan. Error analysis and control scheme for the error correction in trajectorytracking of a planar 2PRP-PPR parallel manipulator. Mechatronics, 46:70–83, 2017. doi: 10.1016/j.mechatronics.2017.07.003.
[25] G.J. Maeda, I.R. Manchester, and D.C. Rye. Combined ILC and disturbance observer for the rejection of near-repetitive disturbances, with application to excavation. IEEE Transactions on Control Systems Technology, 23(5):1754–1769, 2015. doi: 10.1109/TCST.2014.2382579.
[26] W.H. Chen, D.J. Ballance, P.J. Gawthrop, and J. O’Reilly. A nonlinear disturbance observer for robotic manipulators. IEEE Transactions on Industrial Electronics, 47(4):932–938, 2000. doi: 10.1109/41.857974.
[27] D. Sosa-Méndez, E. Lugo-González, M. Arias-Montiel, and R.A. García-García, ADAMSMATLAB co-simulation for kinematics, dynamics, and control of the Stewart–Gough platform. International Journal of Advanced Robotic Systems, 14(4), 2017. doi: 10.1177/1729881417719824.
Go to article

Authors and Affiliations

Meera C S
1
Mukul Kumar Gupta
1
Santhakumar Mohan
2

  1. Department of Electrical and Electronics Engineering, University of Petroleum and Energy Studies (UPES), Dehradun (UK), India.
  2. Discipline of Mechanical Engineering, Indian Institute of Technology Palakkad, Palakkad (Kerala), India.
Download PDF Download RIS Download Bibtex

Abstract

We consider in this work a class of finite dimensional time-varying linear disturbed systems. The main objective of this work is to studied the optimal control which ensures the remediability of a disturbance of time-varying disturbed systems. The remediability concept consist to find a convenient control which bringing back the corresponding observation of disturbed system to the normal one at the final time. We give firstly some characterisations of compensation and in second party we find a control which annul the output of the system and we show also that the Hilbert Uniqueness Method can be used to solve the optimal control which ensure the remediability.Ageneral approachwas given to minimize the linear quadratic problem. Examples and numerical simulations are given.
Go to article

Authors and Affiliations

El Mostafa Magri
1
Chadi Amissi
1
Larbi Afifi
1
Mustapha Lhous
1

  1. Fundamental and Applied Mathematics Laboratory, Department of Mathematics and Computer Science, Faculty of Sciences Ain Chock, Hassan II University of Casablanca, B.P.5366-Maârif, Casablanca, Morocco
Download PDF Download RIS Download Bibtex

Abstract

In pursuing numerous construction projects, investors and contractors regularly face construction delay problems, many of which are likely to have been avoidable. There is found that payment delays and project delays are the two most critical effects of risk factors of construction management. The paper presents the practical application of the Earned Value Management method, which was used to estimate the possible extension of the duration of construction works during which realization disturbances occurred on the example of selected construction investment. The realization disturbances are usually an inseparable element in the implementation of construction works. They are the result of, among others: additional works, changes or design defects, as well as a badly adopted logistics strategy regarding the supply of construction materials. Delays or increasing the total cost of investment is a problem often encountered in the implementation of construction investments, despite advanced construction technologies, including system technologies and proven tools supporting the management of the construction process. The EVM method is used to control investments. It allows you to control delays and acceleration of construction works as well as to estimate their cost and completion date. In the analyzed case it was used to determine the scale of delays arising in construction works and related effects with the specification of the participation of individual participants of the investment process for delays. This paper is a continuation and supplementation of the research presented in the article: “The influence of construction works disturbances on the EVM analysis outcomes – case study” [23].
Go to article

Bibliography


[1] N. Kongchasing, and G. Sua-Iam, “The major causes of construction delays identified using the Delphi technique: perspectives of contractors and consultants in Thailand”. Int J Civ Eng (2020). https://doi.org/10.1007/s40999-020-00575-8.
[2] K. Park, H.W. Lee, K. Choi, et al., “Project Risk Factors Facing Construction Management Firms”. Int J Civ Eng 17, pp. 305–321 (2019). https://doi.org/10.1007/s40999-017-0262-z
[3] ANSI EIA – 748 Standard – Earned Value Management Systems.
[4] K. Araszkiewicz, and M. Bochenek, “Control of construction projects using the Earned Value Method – case study”, Open Engineering 9 (2019), pp. 186–195. https://doi.org/10.1515/eng-2019-0020
[5] M. Bilal, L.O. Oyedele, H.O. Kusimo, H.A. Owolabi, L.A. Akanbi, A.O. Ajayi, O.O. Akinade, and J.M.D. Delgado, “Investigating profitability performance of construction projects using big data: A project analytics approach”, Journal of Building Engineering, 26 (2019). https://doi.org/10.1016/j.jobe.2019.100850
[6] D.W.M. Chan, T. O. Olawumi, and A. M.L. Ho, “Perceived benefits of and barriers to Building Information Modelling (BIM) implementation in construction: The case of Hong Kong”, Journal of Building Engineering, 25 (2019). https://doi.org/10.1016/j.jobe.2019.100764
[7] R. Charef, S. Emmitt, H. Alaka, and F. Fouchal, (2019). “Building Information Modelling adoption in the European Union: An overview”. Journal of Building Engineering, 25, (2019). https://doi.org/10.1016/j.jobe.2019.100777
[8] T. Chen et al, “How do project management competencies change within the project management career model in large Chinese construction companies?”, International Journal of Project Management, 37 (2019), pp. 485–500. https://doi.org/10.1016/j.ijproman.2018.12.002
[9] U. Dwivedi, “Earned Value Management Explained”, 2019 Project Smart reserved, https://www.projectsmart.co.uk/earned-value-management-explained.php
[10] F. Elghaish, S. Abrishami, M. RR. Hosseini, S. Abu-Samra, and M. Gaterell, “Integrated project delivery with BIM: An automated EVM-based approach”, Automation in Construction, 106, (2019). https://doi.org/10.1016/j.autcon.2019.102907
[11] M. Lendo-Siwicka, M. Poloński, and K. Pawluk, “Identification of the interference in the investment process during the realization of a shopping centre – a case study”, Archives of Civil Engineering, LXII (2016), pp. 159–172. https://doi.org/10.1515/ace-2015-0058
[12] L. Lin, R. Müller, F. Zhu, and H. Liu, “Choosing suitable project control modes to improve the knowledge integration under different uncertainties”, International Journal of Project Management, 37 (2019), pp. 896–911. https://doi.org/10.1016/j.ijproman.2019.07.002
[13] L. Song, “Earned Value Management: A Global Cross-Industry Perspective on Current EVM Practice”. PMI 2010.
[14] S.T. Matarneha, M. Danso-Amoako, S.T. Matarneh, S. Al-Bizri, M. Gaterell, and R. Matarneh, “Building information modeling for facilities management: A literature review and future research directions”, Journal of Building Engineering, 24 (2019). https://doi.org/10.1016/j.jobe.2019.100755
[15] P. A de Andrade, A. Martens, and M. Vanhoucke, ”Using real project schedule data to compare earned schedule and earned duration management project time forecasting capabilities”, Automation in Construction, 99 (2019), pp. 68–78. https://doi.org/10.1016/j.autcon.2018.11.030
[16] A. Miguel, W. Madria, and R. Polancos, “Project Management Model: Integrating Earned Schedule, Quality, and Risk in Earned Value Management”, 6th International Conference on Industrial Engineering and Applications (ICIEA), Tokyo, Japan, 2019, pp. 622–628
[17] N. Moradi, S.M. Mousavi, and B. Vandani, “An earned value model with risk analysis for project management under uncertain conditions”, Journal of Intelligent & Fuzzy Systems, 32 (2017), pp. 97–113. https://doi.org/10.3233/JIFS-151139
[18] S.A. Mubarak, “Construction Project Scheduling and Control”. John Wiley & Sons, 2015.
[19] M. Oraee, M.R. Hosseini, D.J. Edwards, H. Li, E. Papadonikolaki, and D. Cao, “Collaboration barriers in BIM-based construction networks: A conceptual model”, International Journal of Project Management, 37 (2019), pp. 839–854. https://doi.org/10.1016/j.ijproman.2019.05.004
[20] E. Papadonikolaki, C. van Oel, and M. Kagioglou, “Organising and Managing boundaries: A structurational view of collaboration with Building Information Modelling (BIM)”, International Journal of Project Management, 37 (2019), pp. 378–394. https://doi.org/10.1016/j.ijproman.2019.01.010
[21] P. Piroozfar, E. R.P. Farr, A.H.M. Zadeh, S.T. Inacio, S. Kilgallone, and R. Jin, “Facilitating Building Information Modelling (BIM) using Integrated Project Delivery (IPD): A UK perspective”, Journal of Building Engineering, 26 (2019). https://doi.org/10.1016/j.jobe.2019.100907
[22] B. Roseke, “The Earned Value Method”. https://www.projectengineer.net/the-earned-value-method/
[23] A. Starczyk-Kołbyk, and L. Kruszka, “The influence of construction works disturbances on the EVM analysis outcomes – case study”, Archives of Civil Engineering, LXVI (2020), pp. 161–177. https://doi.org/10.24425/ace.2020.131781
[24] A. Webb, “Using Earned Value – a project manager guide”. Gower Publishing, Ltd., 2003.
Go to article

Authors and Affiliations

Anna Starczyk-Kołbyk
1
ORCID: ORCID
Leopold Kruszka
2
ORCID: ORCID

  1. Military University of Technology, Faculty of Civil Engineering and Geodesy, ul. gen. Sylwestra Kaliskiego 2, 00–908 Warsaw, Poland
  2. Military University of Technology, Faculty of Civil Engineering and Geodesy, ul. gen. Sylwestra Kaliskiego 2,00–908 Warsaw, Poland
Download PDF Download RIS Download Bibtex

Abstract

This paper presents a robust control technique for small-scale unmanned helicopters to track predefined trajectories (velocities and heading) in the presence of bounded external disturbances. The controller design is based on the linearized state-space model of the helicopter. The multivariable dynamics of the helicopter is divided into two subsystems, longitudinallateral and heading-heave dynamics respectively. There is no strong coupling between these two subsystems and independent controllers are designed for each subsystem. The external disturbances and model mismatch in the longitudinal-lateral subsystem are present in all (matched and mismatched) channels. This model mismatch and external disturbances are estimated as lumped disturbances using extended disturbance observer and an extended disturbance observer based sliding mode controller is designed for it to counter the effect of these disturbances. In the case of heading-heave subsystem, external disturbances and model mismatch only occur in matched channels so a second order sliding mode controller is designed for it as it is insensitive to matched uncertainties. The control performance is successfully tested in Simulink.

Go to article

Authors and Affiliations

Ihsan Ullah
Hai-Long Pei
Download PDF Download RIS Download Bibtex

Abstract

The purpose of this work is to justify the need to develop a set of solutions for the organization of the step-by-step planning of rational use of disturbed lands. Currently, environmental problems have worsened due to the closure of mining enterprises, which has led to an urgent need for a scientific approach to the environmental remediation of mining regions and their future rational use and evaluation. The implementation of such approaches can be largely achieved through the creation of improved natural and anthropogenic landscapes on disturbed lands. As a result of the research, the procedure and sequence for the development of rational use of technologically disturbed lands have been formed. This procedure and stages of work performance will provide an opportunity for their reuse, as well as systematize the activities of local government bodies. The criteria for choosing the direction of the technogenic landscape transformation in Ukraine, which are based on the prevention of undesirable, uncontrollable processes of natural and technogenic origin have been formed. The process of the technogenic landscape transformation should be based on the use of potential opportunities and trends inherent in nature itself. The studies on the rational use of disturbed lands in order to adapt them to reuse and prospective use has shown that lands formed as a result of mining can be used for both recreation and industrial development. Complex schemes of sequential actions in the organization of works on the rational use of lands have been develope.
Go to article

Authors and Affiliations

Maria Malanchuk
1
ORCID: ORCID
Alena Palamar
2
ORCID: ORCID
Natalia Muzyka
1
ORCID: ORCID
Andriy Vovk
1
ORCID: ORCID

  1. Lviv Polytechnic National University, Lviv, Ukraine
  2. Kryvyi Rih National University, Kryvyi Rih, Ukraine
Download PDF Download RIS Download Bibtex

Abstract

The paper studies the fault identification problem for linear control systems under the unmatched disturbances. A novel approach to the construction of a sliding mode observer is proposed for systems that do not satisfy common conditions required for fault estimation, in particular matching condition, minimum phase condition, and detectability condition. The suggested approach is based on the reduced order model of the original system. This allows to reduce complexity of sliding mode observer and relax the limitations imposed on the original system.
Go to article

Bibliography

[1] H. Alwi and C. Edwards: Fault tolerant control using sliding modes with on-line control allocation. Automatica, 44 (2008), 1859–1866, DOI: 10.1016/j.automatica.2007.10.034.
[2] H. Alwi, C. Edwards, and C. Tan: Sliding mode estimation schemes for incipient sensor faults. Automatica, 45 (2009), 1679–1685, DOI: 10.1016/j.automatica.2009.02.031.
[3] F. Bejarano, L. Fridman, and A. Pozhyak: Unknown input and state estimation for unobservable systems. SIAM J. Control and Optimization, 48 (2009), 1155–1178. DOI: 10.1137/070700322.
[4] F. Bejarano and L. Fridman: High-order sliding mode observer for linear systems with unbounded unknown inputs. Int. J. Control, 83 (2010), 1920– 1929, DOI: 10.1080/00207179.2010.501386.
[5] M. Blanke, M. Kinnaert, J. Lunze, and M. Staroswiecki: Diagnosis and Fault-Tolerant Control. Berlin: Springer-Verlag, 2006.
[6] A. Brahim, S. Dhahri, F. Hmida, and A. Sellami: Simultaneous actuator and sensor faults reconstruction based on robust sliding mode observer for a class of nonlinear systems. Asian J. Control, 19 (2017), 362–371, DOI: 10.1002/asjc.1359.
[7] J. Chan, C. Tan, and H. Trinh: Robust fault reconstruction for a class of infinitely unobservable descriptor systems. Int. J. Systems Science, (2017), 1–10. DOI: 10.1080/00207721.2017.1280552.
[8] L. Chen, C. Edwards, H. Alwi, and M. Sato: Flight evaluation of a sliding mode online control allocation scheme for fault tolerant control. Automatica, 144 (2020), DOI: 10.1016/j.automatica.2020.108829.
[9] M. Defoort, K. Veluvolu, J. Rath, and M. Djemai: Adaptive sensor and actuator fault estimation for a class of uncertain Lipschitz nonlinear systems. Int. J. Adaptive Control and Signal Processing, 30 (2016), 271–283, DOI: 10.1002/acs.2556.
[10] S. Ding: Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems. London: Springer-Verlag, 2014.
[11] C. Edwards and S. Spurgeon: On the development of discontinuous observers . Int. J. Control, 59 (1994), 1211–1229, DOI: 10.1080/ 00207179408923128.
[12] C. Edwards, S. Spurgeon, and R. Patton: Sliding mode observers for fault detection and isolation. Automatica, 36 (2000), 541–553, DOI: 10.1016/S0005-1098(99)00177-6.
[13] C. Edwards, H. Alwi, and C. Tan: Sliding mode methods for fault detection and fault tolerant control with application to aerospace systems. Int. J. Applied Mathematics and Computer Science, 22 (2012), 109–124, DOI: 10.2478/v10006-012-0008-7.
[14] V. Filaretov, A. Zuev, A. Zhirabok, and A. Protcenko: Development of fault identification system for electric servo actuators of multilink manipulators using logic-dynamic approach. J. Control Science and Engineering, 2017 (2017), 1–8, DOI: 10.1155/2017/8168627.
[15] T. Floquet, C. Edwards, and S. Spurgeon: On sliding mode observers for systems with unknown inputs. Int. J. Adaptive Control and Signal Processing, 21 (2007), 638–65, DOI: 10.1002/acs.958.
[16] L. Fridman, A. Levant, and J. Davila: Observation of linear systems with unknown inputs via high-order sliding-modes. Int. J. Systems Science, 38 (2007), 773–791, DOI: 10.1080/00207720701409538.
[17] L. Fridman, Yu. Shtessel, C. Edwards, and X. Yan: High-order slidingmode observer for state estimation and input reconstruction in nonlinear systems. Int. J. Robust and Nonlinear Control, 18 (2008), 399–412, DOI: 10.1002/rnc.1198.
[18] R. Hmidi, A. Brahim, F. Hmida, and A. Sellami: Robust fault tolerant control design for nonlinear systems not satisfying matching and minimum phase conditions. Int. J. Control, Automation and Systems, 18 (2020), 1–14, DOI: 10.1007/s12555-019-0516-4.
[19] H. Rios, D. Efimov, J. Davila, T. Raissi, L. Fridman, and A. Zolghadri: Non-minimum phase switched systems: HOSM based fault detection and fault identification via Volterra integral equation. Int. J. Adaptive Control and Signal Processing, 28 (2014), 1372–1397, DOI: 10.1002/acs.2448.
[20] I. Samy, I. Postlethwaite, and D. Gu: Survey and application of sensor fault detection and isolation schemes. Control Engineering Practice, 19 (2011), 658–674, DOI: 10.1016/j.conengprac.2011.03.002.
[21] C. Tan and C. Edwards: Sliding mode observers for robust detection and reconstruction of actuator and sensor faults. Int. J. Robust Nonlinear Control, 13 (2003), 443–463, DOI: 10.1002/rnc.723.
[22] C. Tan and C. Edwards: Robust fault reconstruction using multiple sliding mode observers in cascade: development and design. Proc. 2009 American Control Conf., St. Louis, USA, (2009), DOI: 10.1109/ACC.2009.5160176.
[23] V. Utkin: Sliding Modes in Control Optimization, Berlin: Springer, 1992.
[24] X. Wang, C. Tan, and G. Zhou: A novel sliding mode observer for state and fault estimation in systems not satisfying matching and minimum phase conditions. Automatica, 79 (2017), 290–295, DOI: 10.1016/ j.automatica.2017.01.027.
[25] X. Yan and C. Edwards: Nonlinear robust fault reconstruction and estimation using a sliding modes observer. Automatica, 43 (2007), 1605–1614, DOI: 10.1016/j.automatica.2007.02.008.
[26] J. Yang, F. Zhu, and X. Sun: State estimation and simultaneous unknown input and measurement noise reconstruction based on associated observers. Int. J. Adaptive Control and Signal Processing, 27 (2013), 846–858, DOI: 10.1002/acs.2360.
[27] A. Zhirabok: Nonlinear parity relation: A logic-dynamic approach. Automation and Remote Control, 69 (2008), 1051-1064, DOI: 10.1134/ S0005117908060155.
[28] A. Zhirabok, A. Shumsky, and S. Pavlov: Diagnosis of linear dynamic systems by the nonparametric method. Automation and Remote Control, 78 (2017), 1173–1188, DOI: 10.1134/S0005117917070013.
[29] A. Zhirabok, A. Shumsky, S. Solyanik, and A. Suvorov: Fault detection in nonlinear systems via linear methods. Int. J. Applied Mathematics and Computer Science, 27 (2017), 261–272, DOI: 10.1515/amcs-2017-0019.
[30] A. Zhirabok, A. Zuev, and A. Shumsky: Methods of diagnosis in linear systems based on sliding mode observers. J. Computer and Systems Sciences Int., 58 (2019), 898–914, DOI: 10.1134/S1064230719040166.
[31] A. Zhirabok, A. Zuev, andV. Filaretov: Fault identification in underwater vehicle thrusters via sliding mode observers. Int. J. Applied Mathematics and Computer Science, 30 (2020), 679–688, DOI: 10.34768/amcs-2020-0050.
Go to article

Authors and Affiliations

Alexey Zhirabok
1 2
Alexander Zuev
2
Vladimir Filaretov
3
Alexey Shumsky
1

  1. Far Eastern Federal University, Vladivostok 690091, Russia
  2. Institute of Marine Technology Problems, Vladivostok, 690091, Russia
  3. Institute of Automation and Processes of Control, Vladivostok, 690014, Russia
Download PDF Download RIS Download Bibtex

Abstract

In model predictive control (MPC), methods of linear offset free MPC are well established such as the disturbance model, the observer method and the state disturbance observer method. However, the observer gain in those methods is difficult to define. Based on the drawbacks observed in those methods, a novel algorithm is proposed to guarantee offset-free MPC under model-plant mismatches and disturbances by combining the two proposed methods which are the proposed Recursive Kalman estimated state method and the proposed Disturbance-Kalman state method. A comparison is made from existing methods to assess the ability of providing offset-free MPC onWood-Berry distillation column. Results shows that the proposed offset free MPC algorithm has better disturbance rejection performance than the existing algorithms.
Go to article

Authors and Affiliations

Truong Thanh Tuan
1
Haslinda Zabiri
2
Mohammad Ibrahim Abdul Mutalib
2
Dai-Viet N. No
3

  1. Petrovietnam University, 762 Cach Mang Thang Tam Street, Long Toan Ward, Ba Ria City 78109, Ba Ria Vung Tau Province, Vietnam
  2. Department of Chemical Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610 Tronoh, Perak, Malaysia
  3. Center of Excellence for Green Energy and Environmental Nanomaterials (CE@GrEEN), Nguyen Tat Thanh University, 300A Nguyen Tat Thanh, District 4, Ho Chi Minh City755414, Viet Nam
Download PDF Download RIS Download Bibtex

Abstract

For a higher classification accuracy of disturbance signals of power quality, a disturbance classification method for power quality based on gram angle field and multiple transfer learning is proposed in this paper. Firstly, the one-dimensional disturbance signal of power quality is transformed into a Gramian angular field (GAF) coded image by using the gram angle field, and then three ResNet networks are constructed. The disturbance signals with representative signal-to-noise ratios of 0 dB, 20 dB and 40 dB are selected as the input of the sub-model to train the three sub-models, respectively. During this period, the training weights of the sub-models are transferred in turn by using the method of multiple transfer learning. The pre-training weight of the latter model is inherited from the training weight of the previous model, and the weight processing methods of partial freezing and partial fine-tuning are adopted to ensure the optimal training effect of the model. Finally, the features of the three sub-models are fused to train the classifier with a full connection layer, and a disturbance classification model for power quality is obtained. The simulation results show that the method has higher classification accuracy and better anti-noise performance, and the proposed model has good robustness and generalization.
Go to article

Authors and Affiliations

Peng Heping
1
Mo Wenxiong
1
Wang Yong
1
Luan Le
1
Xu Zhong
1

  1. Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd.Guangdong, Guangzhou 510620, China
Download PDF Download RIS Download Bibtex

Abstract

Unintentional islanding detection is one the mandatory criterion that must be met by PV inverters before connecting them into the grid. Acceptable time for inverter for islanding detection is less than 2 seconds. In this paper voltage parameters after islanding occurrence and before turning off the inverter are analyzed. In order to simulate islanding state and perform measurements the testing system was build. Three different commercial PV inverters were tested. Measured signals were used to calculate voltage envelope, phasor, frequency and ROCOF. Collected data proved to be helpful to compere different inverters.
Go to article

Bibliography

[1] S. Barczentewicz, A Bień, K. Duda , „The use of PMU data for detecting and monitoring selected electromagnetic disturbances”, International Journal od Electronics and Telecommunication. 2020, https://doi.org/10.24425/ijet.2020.134040
[2] IEEE Standard for Synchrophasor Measurements for Power Systems—Amendment 1: Modification of Selected Performance Requirements, IEEE Standard C37.118.1a, Apr. 2014.
[3] International Standard Synchrophasor for power systems – Measurements, IEC/IEEE 60255-118-1, Edition 1.0, Dec. 2018.
[4] G. A. Dileep, “Survey on smart grid technologies and applications”, Renewable Energy, vol. 146, pp. 2589-2625, 2020, https://doi.org/10.1016/j.renene.2019.08.092
[5] S. Barczentewicz, T. Lerch, A. Bień, K. Duda, “Laboratory Evaluation of a Phasor-Based Islanding Detection Method”. Energies. 2021; 14(7):1953. https://doi.org/10.3390/en14071953
[6] IEEE 15471-2020 „Standard Conformance Test Procedures for Equipment Interconnecting Distributed Energy Resources with Electric Power Systems and Associated Interfaces”
[7] S. Raza, H. Arof, H. Mokhlis, H. Mohamad, H. Azil Illias, “Passive islanding detection technique for synchronous generators based on performance ranking of different passive parameters”. IET Gener. Transm. Distrib. 2017, 11, 4175–4183, https://doi.org/10.1049/iet-gtd.2016.0806
[8] Z. Lin, T. Xia, Y. Ye, Y. Zhang, L. Chen, Y. Liu, K. Tomsovic, T. Bilke, F. Wen, “Application of wide area measurement systems to islanding detection of bulk power systems.” IEEE Trans. Power Syst. 2013, 28, 2006–2015, https://doi.org/10.1109/TPWRS.2013.2250531
[9] S.I. Jang, K.H. Kim, “An islanding detection method for distributed generations using voltage unbalance and total harminic distrotion of current.” IEEE Trans. Power Deliv. 2004, 19, 745–752, https://doi.org/10.1109/TPWRD.2003.822964
[10] R. Teodorescu, M. Liserre, P. Rodriguez, “Grid Converters for Photovoltaic and Wind Power System” John Wiley & Sons, Ltd: Chichester, West Sussex, UK; 2011; pp. 93–96
[11] S. Murugesan, M. Venkatakirthiga, “Active Unintentional Islanding Detection Method for Multiple PMSG based DGs.” IEEE Trans. Ind. Appl. 2020, 56, 4700–4708, https://doi.org/10.1109/TIA.2020.3001504
[12] S. Murugesan, V. Murali, “Hybrid Analyzing Technique Based Active Islanding Detection for Multiple DGs.” IEEE Trans. Ind. Inform. 2019, 15, 1311–1320, https://doi.org/10.1109/TII.2018.2846025
[13] D. Sivadas, K. Vasudevan, “An Active Islanding Detection Strategy with Zero Non detection Zone for Operation in Single and Multiple Inverter Mode Using GPS Synchronized Pattern.” IEEE Trans. Ind. Electron. 2020, 67, 5554–5564, https://doi.org/10.1109/TIE.2019.2931231
[14] M. Ropp, E. Aaker, K. Haigh, J. Sabbah, “Using power line carrier communication to prevent islanding”. IEEE Photovolt. Spec. Conf. 2002, 1675–1678, https://doi.org/10.1109/PVSC.2000.916224
[15] X. Wilson, Z. Guibin, L. Chun, W. Wencong, W. Guangzhu, K. A Jacek, “Power line signaling based technique for anti-islanding protection of distributed generators-Part I: Sheme and analysis.”, IEEE Trans. Power Deliv. 2007, 22, 1758–1766, https://doi.org/10.1109/TPWRD.2007.899618
[16] Z. Ye, R. Walling, L. Garces, R. Zhou, L. Li, T. Wang, “Study and Development of Anti-Islanding Control. for Grid-Connected Inverters”; Nat. Renew. Energy Lab.: Golden, CO, USA, May 2004, NREL/ SR-560-36243.
[17] S. Katyara, A. Hashmani, B.S. Chowdhary, H.B. Musavi, A. Aleem, F.A. Chachar, M.A. Shah, “Wireless Networks for Voltage Stability Analysis and Anti-islanding Protection of Smart Grid System.” Wirel. Pers. Commun. 2020, 1–18, https://doi.org/10.1007/s11277-020-07432-w
[18] K. Duda, T.P. Zieliński, S. Barczentewicz, “Perfectly Flat-Top and Equiripple Flat-Top Cosine Windows”, IEEE Trans. Instrum. Meas. 2016, 65, 1558–1567, https://doi.org/10.1109/TIM.2016.2534398
[19] K. Duda, T.P. Zieliński, “FIR Filters Compliant with the IEEE Standard for M Class PMU”. Metrol. Meas. Syst. 2016, 23, 623–636, https://doi.org/10.1515/mms-2016-0055

Go to article

Authors and Affiliations

Szymon Henryk Barczentewicz
1
Tomasz Lerch
1
ORCID: ORCID
Andrzej Bień
1

  1. AGH University of Science and Technology, Poland
Download PDF Download RIS Download Bibtex

Abstract

Power quality (PQ) monitoring is important for both the utilities and also the users of electric power. The most widespread measurement instrument used for PQ monitoring is the PQM (Power Quality Monitor) or PQA (Power Quality Analyzer). In this paper we propose the usage of PMU data for PQ parameters monitoring. We present a new methodology of PQ parameters monitoring and classification based on PMU data. The proposed methodology is tested with real measurements performed in distribution system using dedicated PMU system.

Go to article

Authors and Affiliations

Szymon H. Barczentewicz
Andrzej Bień
Krzysztof Duda
Download PDF Download RIS Download Bibtex

Abstract

The operating subway tunnel is often damaged due to excessive deformation in China. In order to ensure the safe for operation, remediation and protection measures must be taken, especially in soft soil areas. This paper presents a case study on remedial scheme of damaged TBM (Tunnel Boring Machine) tunnel adjacent to excavation combining with MJS (Metro Jet System) and micro-disturbance grouting technology in Hangzhou, China. The track bed settlement, horizontal displacement and convergence of the TBM tunnel caused by MJS and micro-disturbance grouting construction were analyzed and discussed. The results showed the characteristics of soil layer under the tunnel have significant influence on the treatment effect. Even if multiple grouting was adopted, the treatment failure may occur under the combination action of external loads such as traffic load or surcharge load, which should be considered when civil engineers design remediation scheme. The results can provide practical experience and guidance for similar treatment scheme of damaged TBM tunnel.
Go to article

Authors and Affiliations

Shi Feng
1
ORCID: ORCID
Yijun Yang
2
ORCID: ORCID
Yexiang Jiang
2
ORCID: ORCID
Yongdi Li
1
ORCID: ORCID
Lianghao Yao
1
ORCID: ORCID
Xiaolong Chen
1
ORCID: ORCID

  1. Chengdunsuian Underground Engineering Co., Ltd., Shanghai 201109, China
  2. Hangzhou Metro Group Co., Ltd., Hangzhou 31003, China
Download PDF Download RIS Download Bibtex

Abstract

Growing energy demands are expected to render existing energy resources insufficient. Solar energy faces challenges in terms of providing continuous and reliable power supply to consumers. However, it has become increasingly important to implement renewable energy (RE) and energy management (EM) systems to increase the supply of power, improve efficiency, and maintain the stability of energy systems. As such, this present study integrated energy storage (ES) devices; namely, batteries and direct current (DC) to DC converters; into energy systems that support battery operation and effectively manage power flow, especially during peak load demands. The proposed system also addresses low solar irradiation and sudden load change scenarios by enabling the battery to operate in a discharge state to supply power to the load. Conversely, when the demand matches or exceeds the available solar energy, the battery is charged using solar power. The proposed system highlights the significance of RE systems and EM strategies in meeting growing energy demands and ensuring a reliable supply of power during solar variability and fluctuating loads. A MATLAB® Simulink model was used to evaluate the integration of a 200 kW photovoltaic (PV) array with a 380 V grid and 150 kW battery. The loads, consisting of a 100 kW and a 150 kW unit, were parallel connected. The results indicated that boost and three-phase (3Ph) inverters can be used to successfully integrate PV systems to the power grid to supply alternating current (AC) power. The inclusion of a battery also addressed power shortages during periods of insufficient power generation and to store surplus power.
Go to article

Authors and Affiliations

Baqer Saleh Mahdi
1
Nasri Sulaiman
1
ORCID: ORCID
Mohanad Abd Shehab
2
Siti Lailatul Mohd Hassan
3
Suhaidi Shafie
1
ORCID: ORCID
Hashim Hizam
1
ORCID: ORCID

  1. Department of Electrical and Electronic Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Malaysia
  2. Electrical Engineering Department, College of Engineering, Mustansiriyah University, Baghdad, Iraq
  3. School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
Download PDF Download RIS Download Bibtex

Abstract

In this paper, the PLC-based (Programmable Logic Controller) industrial implementation in the form of the general-purpose function block for ADRC (Active Disturbance Rejection Controller) is presented. The details of practical aspects are discussed because their reliable implementation is not trivial for higher order ADRC. Additional important novelties discussed in the paper are the impact of the derivative backoff and the method that significantly simplifies tuning of higher order ADRC by avoiding the usual trial and error procedure. The results of the practical validation of the suggested concepts complete the paper and show the potential industrial applicability of ADRC.

Go to article

Authors and Affiliations

Paweł Nowak
Krzysztof Stebel
Tomasz Kłopot
Jacek Czeczot
Michał Frątczak
Piotr Laszczyk
Download PDF Download RIS Download Bibtex

Abstract

The Bulletin of the Polish Academy of Sciences: Technical Sciences (Bull.Pol. Ac.: Tech.) is published bimonthly by the Division IV Engineering Sciences of the Polish Academy of Sciences, since the beginning of the existence of the PAS in 1952. The journal is peer‐reviewed and is published both in printed and electronic form. It is established for the publication of original high quality papers from multidisciplinary Engineering sciences with the following topics preferred: Artificial and Computational Intelligence, Biomedical Engineering and Biotechnology, Civil Engineering, Control, Informatics and Robotics, Electronics, Telecommunication and Optoelectronics, Mechanical and Aeronautical Engineering, Thermodynamics, Material Science and Nanotechnology, Power Systems and Power Electronics.

Journal Metrics: JCR Impact Factor 2018: 1.361, 5 Year Impact Factor: 1.323, SCImago Journal Rank (SJR) 2017: 0.319, Source Normalized Impact per Paper (SNIP) 2017: 1.005, CiteScore 2017: 1.27, The Polish Ministry of Science and Higher Education 2017: 25 points.

Abbreviations/Acronym: Journal citation: Bull. Pol. Ac.: Tech., ISO: Bull. Pol. Acad. Sci.-Tech. Sci., JCR Abbrev: B POL ACAD SCI-TECH Acronym in the Editorial System: BPASTS.

Go to article

Authors and Affiliations

Radosław Patelski
Dariusz Pazderski
Download PDF Download RIS Download Bibtex

Abstract

In this paper two different update schemes for the recently developed plug-in direct particle swarm repetitive controller (PDPSRC) are investigated and compared. The proposed approach employs the particle swarm optimizer (PSO) to solve in on-line mode a dynamic optimization problem (DOP) related to the control task in the constant-amplitude constant-frequency voltage-source inverter (CACF VSI) with an LC output filter. The effectiveness of synchronous and asynchronous update rules, both commonly used in static optimization problems (SOPs), is assessed and compared in the case of PDPSRC. The performance of the controller, when synthesized using each of the update schemes, is studied numerically.
Go to article

Authors and Affiliations

Bartlomiej Ufnalski
Lech M. Grzesiak
Download PDF Download RIS Download Bibtex

Abstract

In this report, ankle rehabilitation routines currently approved by physicians are implemented via novel control algorithms on a recently appeared robotic device known as the motoBOTTE. The physician specifications for gait cycles are translated into robotic trajectories whose tracking is performed twofold depending on the availability of a model: (1) if obtained via the Euler-Lagrange approach along with identification of unknown plant parameters, a new computed-torque control law is proposed; it takes into account the parallel-robot characteristics; (2) if not available, a variation of the active disturbance rejection control technique whose parameters need to be tuned, is employed. A detailed discussion on the advantages and disadvantages of the model-based and model-free results, from the continuous-time simulation to the discrete-time implementation, is included.
Go to article

Bibliography


[1] N. Alibeji, N. Kirsch, S. Farrokhi, and N. Sharma: Further results on predictor-based control of neuromuscular electrical stimulation, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 23(6), (2015), 1095–1105.
[2] J. Alvarez, J.C. Arceo, C. Armenta, J. Lauber, and M. Bernal: An extension of computed-torque control for parallel robots in ankle reeducation, IFAC-PapersOnLine, 52(11), (2019), 1–6.
[3] J.C. Arceo, J. Lauber, L. Robinault, S. Paganelli, M. Jochumsen, I.K. Niazi, E. Simoneau, and S. Cremoux: Modeling and control of rehabilitation robotic device: motobotte, In International Conference on NeuroRehabilitation, pages 546–550. Springer, 2018.
[4] J.C. Arceo, M. Sanchez, V. Estrada-Manzo, and M. Bernal: Convex stability analysis of nonlinear singular systems via linear matrix inequalities, IEEE Transactions on Automatic Control, 2018.
[5] V. Arnez-Paniagua, H. Rifai, Y. Amirat, M. Ghedira, J. M. Gracies, and S. Mohammed: Adaptive control of an actuated ankle foot orthosis for paretic patients, Control Engineering Practice, 90 (2019), 207–220.
[6] E.J. Benjamin, S.S. Virani, C.W. Callaway, A.M. Chamberlain, A.R. Chang, S. Cheng, S.E. Chiuve, M. Cushman, F.N. Delling, R. Deo, et al.: Heart disease and stroke statistics-2018 update: a report from the American Heart Association, Circulation, 137(12), (2018), e67.
[7] A˙ . Bjorck and V. Pereyra: Solution of vandermonde systems of equations, Mathematics of Computation, 24(112), (1970), 893–903.
[8] D. Brown, B. Boden-Albala, K. Langa, L. Lisabeth, M. Fair, M. Smith, R.L. Sacco, and L. Morgenstern: Projected costs of ischemic stroke in the united states, Neurology, 67(8), (2006) 1390–1395.
[9] G.C. Burdea, D. Cioi, A. Kale,W.E. Janes, S.A.Ross, and J.R. Engsberg: Robotics and gaming to improve ankle strength, motor control, and function in children with cerebral palsy—a case study series, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 21(2), (2012), 165–173.
[10] H. Cheng, Y.K. Yiu, and Z. Li: Dynamics and control of redundantly actuated parallel manipulators, IEEE/ASME Transactions on mechatronics, 8(4), (2003), 483–491.
[11] D.M.Dawson, C.T. Abdallah, and F.L. Lewis: Robot manipulator control: theory and practice, CRC Press, 2003.
[12] I. Diaz, J. J. Gil, and E. Sanchez: Lower-limb robotic rehabilitation: literature review and challenges, Journal of Robotics, 2011, Article ID 759764.
[13] A. Dontchev and W. Hager: The euler approximation in state constrained optimal control, Mathematics of Computation, 70(233), (2001), 173–203.
[14] V.L. Feigin, M.H. Forouzanfar, R. Krishnamurthi, G.A. Mensah, M. Connor, D.A. Bennett, A.E. Moran, R.L. Sacco, L. Anderson, T. Truelsen, et al.: Global and regional burden of stroke during 1990–2010: findings from the global burden of disease study 2010, The Lancet, 383(9913), (2014), 245–255.
[15] M. Ferrarin, F. Palazzo, R. Riener, and J. Quintern: Model-based control of fes-induced single joint movements, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 9(3), (2001), 245–257.
[16] P. Ghosh: Numerical, Symbolic and Statistical Computing for Chemical Engineers using MATLAB, PHI Learning Pvt. Ltd., 2018.
[17] J. Han: From pid to active disturbance rejection control, IEEE transactions on Industrial Electronics, 56(3), (2009), 900–906.
[18] H. Herr: Exoskeletons and orthoses: classification, design challenges and future directions, Journal of Neuroengineering and Rehabilitation, 6(1), (2009), 21.
[19] N. Instruments: NI myRIO-1900 User Guide and Specifications, National Instruments, 11500 North Mopac Expressway, Austin, Texas, 78759–3504, 376047c-01 edition, May 2016.
[20] S. Jezernik, G. Colombo, T. Keller, H. Frueh, and M. Morari: Robotic orthosis lokomat: A rehabilitation and research tool, Neuromodulation: Technology at the neural interface, 6(2), (2003), 108–115.
[21] M. Jochumsen, S. Cremoux, L. Robinault, J. Lauber, J.C. Arceo, M. Navid, R. Nedergaard, U. Rashid, H. Haavik, and I. Niazi: Investigation of optimal afferent feedback modality for inducing neural plasticity with a self-paced brain-computer interface, Sensors, 18(11), (2018), 3761.
[22] M.A. Khosravi and H.D.Taghirad:Robust pid control of fully-constrained cable driven parallel robots, Mechatronics, 24(2), (2014), 87–97.
[23] V. Klee and G. J. Minty: How good is the simplex algorithm, Technical report, Washington Univ Seattle Dept. of Mathematics, 1970.
[24] P. Langhorne, J. Bernhardt, and G. Kwakkel: Stroke rehabilitation, The Lancet, 377(9778), (2011), 1693–1702.
[25] F.L. Lewis:Asurvey of linear singular systems, Circuits, Systems and Signal Processing, 5(1), (1986), 3–36.
[26] O. Linda and M. Manic: Uncertainty-robust design of interval type-2 fuzzy logic controller for delta parallel robot, IEEE Transactions on Industrial Informatics, 7(4), (2011), 661–670.
[27] H. Markus: Stroke: causes and clinical features, Medicine, 36(11), (2008), 586–591.
[28] J. Merlet: Parallel robots, volume 128, Springer Science & Business Media, 2006.
[29] M. Motor: ESCON 50/5 DC Servo Controller Hardware Reference, Maxon Motor, Bränigstrasse 220 P.O.Box 263 CH-6072 Sachseln, rel7125 edition, November 2018.
[30] N.S. Nedialkov, J.D. Pryce, and G. Tan: Algorithm 948: Daesa—a matlab tool for structural analysis of differential-algebraic equations: Software, ACM Transactions on Mathematical Software (TOMS), 41(2), (2015), 12.
[31] M. Noel, B. Cantin, S. Lambert, C.M. Gosselin, and L.J. Bouyer: An electrohydraulic actuated ankle foot orthosis to generate force fields and to test proprioceptive reflexes during human walking, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 16(4), (2008), 390–399.
[32] C.C. Pantelides: The consistent initialization of differential-algebraic systems, SIAM Journal on Scientific and Statistical Computing, 9(2), (1998), 213–231.
[33] L. Peng, Z.-G. Hou, and W. Wang: Dynamic modeling and control of a parallel upper-limb rehabilitation robot, In 2015 IEEE International Conference on Rehabilitation Robotics (ICORR), pages 532–537, 2015.
[34] J.C. Perez-Ibarra and A.A. Siqueira: Comparison of kinematic and emg parameters between unassisted, fixed-and adaptive-stiffness robotic-assisted ankle movements in post-stroke subjects, In 2017 International Conference on Rehabilitation Robotics (ICORR), pages 461–466. IEEE, 2017.
[35] N. Petroff, K.D. Reisinger, and P.A. Mason: Fuzzy-control of a hand orthosis for restoring tip pinch, lateral pinch, and cylindrical prehensions to patients with elbow flexion intact, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 9(2), (2001), 225–231.
[36] Z. Qi, J.E. McInroy, and F. Jafari: Trajectory tracking with parallel robots using low chattering, fuzzy sliding mode controller, Journal of Intelligent and Robotic Systems, 48(3), (2007) 333–356.
[37] P.J. Rabier and W.C. Rheinboldt: Theoretical and numerical analysis of differential-algebraic equations, Elsevier, 2002.
[38] E.J. Rouse, L.J. Hargrove, E.J. Perreault, and T.A. Kuiken: Estimation of human ankle impedance during the stance phase of walking, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 22(4), (2014), 870–878.
[39] B.S. Rupal, S. Rafique, A. Singla, E. Singla, M. Isaksson, and G.S. Virk: Lower-limb exoskeletons: Research trends and regulatory guidelines in medical and non-medical applications, International Journal of Advanced Robotic Systems, 14(6), (2017), 1729881417743554.
[40] A. Sala and C. Arino: Polynomial fuzzy models for nonlinear control: A Taylor series approach, IEEE Transactions on Fuzzy Systems, 17(6), (2009), 1284–1295.
[41] L. F. Shampine, S. Thompson, J. Kierzenka, and G. Byrne: Non-negative solutions of odes, Applied Mathematics and Computation, 170(1), (2005), 556–569.
[42] W.W. Shang, S. Cong, and Y. Ge: Adaptive computed torque control for a parallel manipulator with redundant actuation, Robotica, 30(3), (2012) 457–466.
[43] K.A. Shorter, G.F. Kogler, E. Loth, W.K. Durfee, and E.T. Hsiao- Wecksler: A portable powered ankle-foot orthosis for rehabilitation, Journal of Rehabilitation Research & Development, 48(4), (2011).
[44] Y. Shtessel, C. Edwards, L. Fridman, and A. Levant: Sliding mode control and observation, Springer, 2014.
[45] R.M. Singh, S. Chatterji, and A. Kumar: Trends and challenges in emg based control scheme of exoskeleton robots-a review, Int. J. Sci. Eng. Res., 3(9), (2012), 933–940.
[46] SKF: CAHB-21: Linear Actuator. Installation, operation and maintenance manual, SKF Taiwan Co., Ltd, No. 3, Lane 11, Tzu-Chiang St., Tu-Cheng Industrial District, Taipei, Taiwan, August 2010. [47] Y. Su, B. Duan, and C. Zheng: Nonlinear pid control of a six-dof parallel manipulator, IEEE Proceedings-Control Theory and Applications, 151(1), (2004), 95–102.
[48] B.M. Vinagre, Y.Q. Chen, and I. Petras: Two direct tustin discretization methods for fractional-order differentiator/integrator, Journal of the Franklin Institute, 340(5), (2003), 349–362.
[49] O. Vinogradov: Fundamentals of kinematics and dynamics of machines and mechanisms, CRC Press, 2000. [50] L. Wang, Z. Lu, X. Liu, K. Liu, and D. Zhang: Adaptive control of a parallel robot via backstepping technique, International Journal of Systems, Control and Communications, 1(3), (2009), 312–324.
[51] D.A. Winter: Biomechanics and motor control of human movement, John Wiley & Sons, 2009.
[52] R. Xu, N. Jiang, N. Mrachacz-Kersting, C. Lin, G.A. Prieto, J.C. Mo- reno, J.L. Pons, K. Dremstrup, and D. Farina: A closed-loop brain– computer interface triggering an active ankle–foot orthosis for inducing cortical neural plasticity, IEEE Transactions on Biomedical Engineering, 61(7), (2014), 2092–2101.
[53] J. Yoon, J. Ryu, and K.-B. Lim: Reconfigurable ankle rehabilitation robot for various exercises, Journal of Robotic Systems, 22(S1), (2006), S15–S33.
[54] H. Zhu, J. Doan, C. Stence, G. Lv, T. Elery, and R. Gregg: Design and validation of a torque dense, highly backdrivable powered knee-ankle orthosis, In 2017 IEEE International Conference on Robotics and Automation (ICRA), pages 504–510, IEEE, 2017.
Go to article

Authors and Affiliations

Juan Carlos Arceo
1
Jorge Álvarez
2
Carlos Armenta
1
Jimmy Lauber
1
Sylvain Cremoux
3
Emilie Simoneau-Buessinger
1
Miguel Bernal
2

  1. Université Polytechnique Hauts-de-France, LAMIH UMR CNRS 8201, F-59313 Valenciennes, France
  2. Sonora Institute of Technology, 5 de Febrero 818 Sur, Ciudad Obregon, Sonora, Mexico
  3. Centre de Recherche Cerveau et Cognition, CNRS UMR 5549, Université de Toulouse, Toulouse 31052, France
Download PDF Download RIS Download Bibtex

Abstract

Disturbance rejection performance optimization with constraints on robustness for a multivariable process is commonly encountered in industrial control applications. This paper presents the tuning of a multi-loop Proportional Integral (PI) controller method to enhance the performance of load disturbance rejection using evolutionary optimization. The proposed design methodology is formulated to minimize the load disturbance rejection response and the input control energy under the constraints of robust stability. The minimum singular value of multiplicative uncertainty is considered a multi-loop system robust stability indicator. Optimization is performed to achieve the same, or higher level than the most-explored Direct Synthesis (DS) based multi-loop PI controller, which is derived from a conventional criterion. Simulation analysis clearly proved that the proposed multi-loop PI controller tuning method gives better disturbance rejection, and either, the same or a higher level of robust stability when compared to the DS-based multi-loop PI controller.
Go to article

Authors and Affiliations

R. Arun
1
ORCID: ORCID
R. Muniraj
2
ORCID: ORCID
S.R. Boselin Prabhu
3
ORCID: ORCID
T. Jarin
4
ORCID: ORCID
M. Willjuice Iruthayarajan
5
ORCID: ORCID

  1. Department of Electrical and Electronics Engineering, SriSivasubramaniya Nadar College of Engineering, Chennai, India
  2. Department of Electrical and Electronics Engineering, P.S.R Engineering College, Sivakasi, India
  3. Department ofElectronics and Communication Engineering, Surya Engineering College, India
  4. Department of Electrical and Electronics Engineering, Jyothi Engineering College, Thrissur, India
  5. Department of Electrical andElectronics Engineering, National Engineering College, Kovilpatti, India
Download PDF Download RIS Download Bibtex

Abstract

The iterative learning fault-tolerant control strategies with non-strict repetitive initial state disturbances are studied for the linear discrete networked control systems (NCSs) and the nonlinear discrete NCSs. In order to reduce the influence of the initial state disturbance in iteration, for the linear NCSs, considering the external disturbance and actuator failure, the iterative learning fault-tolerant control strategy with impulse function is proposed. For the nonlinear NCSs, the external disturbance, packet loss and actuator failure are considered, the iterative learning fault-tolerant control strategy with random Bernoulli sequence is provided. Finally, the proposed control strategies are used for simulation research for the linear NCSs and the nonlinear NCSs. The results show that both strategies can reduce the influence of the initial state disturbance on the tracking effect, which verifies the effectiveness of the given method.
Go to article

Authors and Affiliations

Fu Xingjian
1
Zhao Qianjun
1

  1. School of Automation, Beijing Information Science and Technology University, Beijing 100192, China
Download PDF Download RIS Download Bibtex

Abstract

In this paper an application of extended Kalman filter (EKF) for estimation and attenuation of periodic disturbance in permanent magnet synchronous motor (PMSM) drive is investigated. Most types of disturbances present into PMSM drive were discussed and described. The mathematical model of the plant is presented. Detailed information about the design process of the disturbance estimator was introduced. A state feedback controller (SFC) with feedforward realizes the regulation and disturbance compensation. The theoretical analysis was supported by experimental tests on the laboratory stand. Both time- and frequency-domain analysis of the estimation results and angular velocity were performed. A significant reduction of velocity ripple has been achieved.

Go to article

Authors and Affiliations

Ł.J. Niewiara
T. Tarczewski
L.M. Grzesiak

This page uses 'cookies'. Learn more