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Stefan cel Mare
University of Suceava
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Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  2/2021 - 2

Adaptive Interval Type-2 Fuzzy Controller Based Direct Torque Control of Permanent Magnet Synchronous Motor

HENINI, N. See more information about HENINI, N. on SCOPUS See more information about HENINI, N. on IEEExplore See more information about HENINI, N. on Web of Science, TLEMCANI, A. See more information about  TLEMCANI, A. on SCOPUS See more information about  TLEMCANI, A. on SCOPUS See more information about TLEMCANI, A. on Web of Science, BARKAT, S. See more information about BARKAT, S. on SCOPUS See more information about BARKAT, S. on SCOPUS See more information about BARKAT, S. on Web of Science
 
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Download PDF pdficon (1,414 KB) | Citation | Downloads: 1,010 | Views: 1,688

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
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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.


References | Cited By  «-- Click to see who has cited this paper

[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 652]


[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]


[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 133]


[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]


[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]


[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 2]


[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]


[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 44]


[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 203]


[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]


[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]


[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]


[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 290]


[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 111]


[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 64]


[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 238]


[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 170]


[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 79]


[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]


[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 51]


[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]


[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 220]


[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]


[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 45]


[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 125]


[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 93]


[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 62]


[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 91]


[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 1141]


[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]


[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 377]


[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.
[CrossRef] [Web of Science Times Cited 237]


References Weight

Web of Science® Citations for all references: 4,661 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 141 ACR
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-04-15 03:26 in 191 seconds.




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