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Adaptive Interval Type-2 Fuzzy Controller Based Direct Torque Control of Permanent Magnet Synchronous MotorHENINI, N. , TLEMCANI, A. , BARKAT, S. |
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Author keywords
adaptive control, fuzzy systems, measurement uncertainty, permanent magnet motor, torque control
References keywords
fuzzy(34), control(27), type(23), systems(17), interval(12), logic(10), adaptive(10), torque(7), cybern(6), synchronous(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2021-05-31
Volume 21, Issue 2, Year 2021, On page(s): 15 - 22
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2021.02002
Web of Science Accession Number: 000657126200002
SCOPUS ID: 85107709037
Abstract
This paper develops an adaptive type-2 fuzzy logic controller for direct torque control of a permanent magnet synchronous motor. The type-2 fuzzy logic systems are used for modeling the unknown functions. The adaptive law proposed takes in consideration the compensation of reconstruction errors by adding a sliding mode term. This term ensures the stability and the robustness of the control system regardless the internal and external disturbances. The stability of closed-loop system was verified using Lyapunovs stability theorem. Moreover, the proposed control scheme guarantees that all involved signals are bounded. The effectiveness and the feasibility of the proposed control method are demonstrated by extensive presentation and discussion of simulation results. |
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[1] L. Zhong, M. F. Rahman, W. Y. Hu, K. W. Lim, "Analysis of direct torque control in permanent magnet synchronous motor drives," IEEE Trans. on Power Electron., vol. 12, no. 3, pp. 528-536, 1997. [CrossRef] [Web of Science Times Cited 664] [SCOPUS Times Cited 969] [2] Y. P. Liu, "Space Vector Modulated Direct Torque Control for PMSM," Advances in Computer Science, Intelligent System and Environment, Springer, Berlin, Heidelberg, pp. 225-230, 2011. [CrossRef] [SCOPUS Times Cited 9] [3] C. Lascua, A. M. Trzynadlowski, "Combining the principles of sliding mode, direct torque control, and space-vector modulation in a high-performance sensorless AC drive," IEEE Transactions on industry applications, vol. 40, no. 1, pp. 170-177, 2004. [CrossRef] [Web of Science Times Cited 134] [SCOPUS Times Cited 192] [4] N. Bekiroglu, S. Ozcira, "Observerless scheme for sensorless speed control of PMSM using direct torque control method with LP filter," Advances in Electrical and Computer Engineering, vol. 10, no. 3, pp. 78-83, 2010. [CrossRef] [Full Text] [Web of Science Times Cited 6] [SCOPUS Times Cited 9] [5] M. M. Rosic, M. Z. Bebic, "Analysis of torque ripple reduction in induction motor DTC drive with multiple voltage vectors," Advances in Electrical and Computer Engineering, vol. 15, no. 1, pp. 105-114, 2015. [CrossRef] [Full Text] [Web of Science Times Cited 11] [SCOPUS Times Cited 13] [6] P. Brandstetter, I. Neborak, M. Kuchar, "Analysis of steady-state error in torque current component control of PMSM drive," Advances in Electrical and Computer Engineering, vol. 17, no. 2, 2017. [CrossRef] [Full Text] [Web of Science Times Cited 3] [SCOPUS Times Cited 8] [7] J. Yu, Y. Ma, H. Yu, C. Lin, "Reduced-order observer-based adaptive fuzzy tracking control for chaotic permanent magnet synchronous motors," Neurocomputing, vol. 214, pp. 201-209, 2016. [CrossRef] [Web of Science Times Cited 56] [SCOPUS Times Cited 63] [8] W. Chang, S. Tong, "Adaptive fuzzy tracking control design for permanent magnet synchronous motors with output constraint," Nonlinear Dynamics, vol. 87, no. 1, pp. 291-302, 2017. [CrossRef] [Web of Science Times Cited 49] [SCOPUS Times Cited 53] [9] H. Chaoui, P. Sicard, "Adaptive fuzzy logic control of permanent magnet synchronous machines with nonlinear friction," IEEE Transactions on Industrial Electronics, vol. 59, no. 2, pp. 1123-1133, 2011. [CrossRef] [Web of Science Times Cited 208] [SCOPUS Times Cited 244] [10] Sung-Hoon Yu, Hyo Seok Kang, Yong-Tae Kim, Chang-Ho Hyun, Mignon Park, "Fuzzy adaptive modular design of uncertain chaotic duffing oscillators," International Journal of Control, Automation, and Systems, vol. 12, no. 1, pp. 188-194, 2014. [CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 12] [11] Dong W. Kim, Ty A. Lasky, Steven A. Velinsky, "Autonomous multi-mobile robot system: simulation and implementation using fuzzy logic," International Journal of Control, Automation, and Systems, vol. 11, no. 3, pp.545-554, 2013. [CrossRef] [Web of Science Times Cited 14] [SCOPUS Times Cited 19] [12] A. Saidi, F. Naceri, L. Youb, M. Cernat, L. G. Pesquer, "Two types of fuzzy logic controllers for the speed control of the doubly-fed induction machine," Advances in Electrical and Computer Engineering, vol. 20, no. 3, pp. 65-74, 2020. [CrossRef] [Full Text] [Web of Science Times Cited 3] [SCOPUS Times Cited 4] [13] H. K. Lam, Li Hongyi, C. Deters, E. L. Secco, H. A. Wurdemann, K. Althoefer, "Control design for interval type-2 fuzzy systems under imperfect premise matching," IEEE Transactions on Industrial Electronics, vol. 61, no. 2, pp. 956-968, 2014. [CrossRef] [Web of Science Times Cited 302] [SCOPUS Times Cited 331] [14] E. Yesil, "Interval type-2 fuzzy PID load frequency controller using Big Bang-Big Crunch optimization," Applied Soft Computing, vol. 15, no. 2, pp. 100-112, 2014. [CrossRef] [Web of Science Times Cited 114] [SCOPUS Times Cited 128] [15] E. Kayacan, O. Cigdem, O. Kaynak, "Sliding mode control approach for online learning as applied to type-2 fuzzy neural networks and its experimental evaluation," IEEE Trans. Ind. Electron., vol. 59, no. 9, pp. 3510-3520, 2012. [CrossRef] [Web of Science Times Cited 65] [SCOPUS Times Cited 71] [16] Hongyi Li, Jiahui Wang, Hak-Keung Lam, Qi Zhou, Haiping Du, "Adaptive sliding mode control for interval type-2 fuzzy systems," IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 46, no. 12, pp. 1654-1663, 2016. [CrossRef] [Web of Science Times Cited 247] [SCOPUS Times Cited 303] [17] C. S. Lee, M. H. Wang, H. Hagras, "A type-2 fuzzy ontology and its application to personal diabetic-diet recommendation," IEEE Trans. Fuzzy Syst., vol. 18, no. 2, pp. 374-395, 2010. [CrossRef] [Web of Science Times Cited 173] [SCOPUS Times Cited 229] [18] M. A. Khanesar, E. Kayacan, M. Teshnehlab, O. Kaynak, "Analysis of the noise reduction property of type-2 fuzzy logic system using a novel type-2 membership function," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 41, no. 5, pp. 1395-1406, 2011. [CrossRef] [Web of Science Times Cited 80] [SCOPUS Times Cited 89] [19] P. Z. Lin, C. M. Lin, C. F. Hsu, T. T. Lee, "Type-2 fuzzy controller design using a sliding-mode approach for application to DC-DC converters," IEE Proc.-Electr. Power Appl., vol. 152, no. 6, pp. 1482-1488, 2005. [CrossRef] [Web of Science Times Cited 73] [SCOPUS Times Cited 103] [20] M. H. Khooban, N. Vafamand, A. Liaghat, T. Dragicevic, "An optimal general type-2 fuzzy controller for urban traffic network," ISA Transactions, vol. 66, no. 1, pp. 335-343, 2017. [CrossRef] [Web of Science Times Cited 53] [SCOPUS Times Cited 60] [21] X. Lu, Y. Zhao, M. Liu, "Self-learning interval type-2 fuzzy neural network controllers for trajectory control of a Delta parallel robot," Neurocomputing, vol. 283, pp. 107-119, 2018. [CrossRef] [Web of Science Times Cited 28] [SCOPUS Times Cited 38] [22] M. A. Sanchez, O. Castillo, J. R.Castro, "Generalized Type-2 Fuzzy Systems for controlling a mobile robot and a performance comparison with interval type-2 and type-1 fuzzy systems," Expert Systems with Applications, vol. 42, no. 14, pp. 5904-5914, 2015. [CrossRef] [Web of Science Times Cited 227] [SCOPUS Times Cited 272] [23] F. J. Lin, P. H. Shieh, Y. C. Hung, "An intelligent control for linear ultrasonic motor using interval type-2 fuzzy neural network," IET Electr. Power Appl., vol. 2, no. 1, pp. 32-41, 2008. [CrossRef] [Web of Science Times Cited 31] [SCOPUS Times Cited 40] [24] F. J. Lin, P. H. Chou, P. H. Shieh, S. Y. Chen, "Robust control of an LUSM-based X-Y-O motion control stage using an adaptive interval type-2 fuzzy neural network," IEEE Trans. Fuzzy Syst., vol. 17, no. 1, pp. 24-38, 2009. [CrossRef] [Web of Science Times Cited 46] [SCOPUS Times Cited 55] [25] F. J. Lin, P. H. Chou, "Adaptive control of two-axis motion control system using interval type-2 fuzzy neural network," IEEE Trans. Ind. Electron., vol. 56, no. 1, pp. 178-193, 2009. [CrossRef] [Web of Science Times Cited 127] [SCOPUS Times Cited 152] [26] S. Barkat, A. Tlemcani, H. Nouri, "Non-interacting adaptive control of PMSM using interval type-2 fuzzy logic systems," IEEE Trans. Fuzzy Systems, vol. 19, no. 5, pp. 925-936, 2011. [CrossRef] [Web of Science Times Cited 96] [SCOPUS Times Cited 112] [27] S. Masumpoor, H. Yaghobi, M. A. Khanesar, "Adaptive sliding-mode type-2 neuro-fuzzy control of an induction motor," Expert Systems with Applications, vol. 42, no. 19, pp. 6635-6647, 2015. [CrossRef] [Web of Science Times Cited 63] [SCOPUS Times Cited 78] [28] H. Chaoui , M. Khayamy, A. A. Aljarboua, "Adaptive interval type-2 fuzzy logic control for PMSM drives with a modified reference frame," IEEE Transactions on Industrial Electronics, vol. 64, no. 5, pp. 3786 - 3797, 2017. [CrossRef] [Web of Science Times Cited 96] [SCOPUS Times Cited 114] [29] Q. Liang, J. M. Mendel, "An introduction to type-2 TSK fuzzy logic systems," IEEE International Fuzzy Systems Conference, Seoul, Korea, pp. 1534-1539, 1999. [CrossRef] [30] N. N. Karnik, J. M. Mendel, Q. Liang, "Type-2 fuzzy logic systems," IEEE Trans. Fuzzy Syst., vol. 7, no. 6, pp. 643-658, 1999. [CrossRef] [Web of Science Times Cited 1166] [SCOPUS Times Cited 1457] [31] A. Tlemcani, O. Bouchhida, K. Benmansour, D. Boudana, M. S. Boucherit, "Direct torque control strategy (DTC) based on fuzzy logic controller for a permanent magnet synchronous machine drive," Journal of Electrical Engineering & Technology, vol. 4, no. 1, pp. 66-78, 2009. [CrossRef] [SCOPUS Times Cited 20] [32] H. K. Lam, L. D. Seneviratne, "Stability analysis of interval type-2 fuzzy-model-based control systems," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 38, no. 3, pp. 617-628, 2008. [CrossRef] [Web of Science Times Cited 395] [SCOPUS Times Cited 425] [33] M. Biglarbegian, W. W. Melek, J. M. Mendel, "On the stability of interval type-2 TSK fuzzy logic control systems," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 40, no. 3, pp. 798-818, 2010. 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