Zheyi LIU, Yuqing XIE, Zhenyi LIU, Yanwei HUANG

Adaptive switching gain sliding mode control for speed regulation in PMSMs

To suppress uncertainties caused by parametric variations or disturbances, an adaptive switching gain (ASG)is proposed for integral sliding mode control (ISMC) to regulate speed in permanent magnet synchronous motors(PMSMs). According to system uncertainties, the ASG is designed to adjust the switching gain to suppress the chattering.The adaptive law is a positive value resulting in an increment of the switching gain when the tracking trajectory is outsidethe boundary layer. Conversely, it is negative with a decrement of the gain. Further, it improves a convergent rate bythe function of the reciprocal of the tracking error when the trajectory enters the sliding phase. ISMC with the ASG isapplied to a PMSM experiment with the result that this method can effectively suppress high frequency chattering andshows excellent steady state performance of the current loop and speed in a servo system.

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[1] Huang Y, Cheng G. A robust composite nonlinear control scheme for servomotor speed regulation. International Journal of Control 2015; 88 (01): 104-112.
[2] Dal M, Teodorescu R. Sliding mode controller gain adaptation and chattering reduction techniques for DSP-based PM DC motor drives. Turkish Journal of Electrical Engineering and Computer Sciences 2011; 19 (4): 431-437.
[3] Zhou Z, Zhang B, Mao D. Robust sliding mode control of PMSM based on rapid nonlinear tracking differentiator and disturbance observer. Sensors 2018; 18 (4): 1-19.
[4] Mao LL, Zhou K, Wang XD. Variable exponent reaching law sliding mode control of permanent magnet synchronous motor. Electric Machines and Control 2016; 20 (4): 106-111.
[5] Xia C, Wang X, Li S, Chen X. Improved integral sliding mode control methods for speed control of PMSM system. International Journal of Innovative Computing Information and Control 2011; 7 (4): 1971-1982.
[6] Utkin VI. Sliding mode control design principles and applications to electric drives. IEEE Transactions on Industrial Electronics 1993; 40 (1): 23-36.
[7] Fallaha CJ, Saad M, Kanaan HY, Al-Haddad K. Sliding-mode robot control with exponential reaching law. IEEE Transactions on Industrial Electronics 2011; 58 (2): 600-610.
[8] Lin FJ, Hung YC, Tsai MT. Fault-tolerant control for six-phase PMSM drive system via intelligent complementary sliding-mode control using TSKFNN-AMF. IEEE Transactions on Industrial Electronics 2013; 60 (12): 5747-5761.
[9] Barambones O, Alkorta P, Garrido I, Garrido A. A robust control for induction motors using adaptive switching control law. In: IEEE 2008 International Symposium on Industrial Electronics; Cambridge, United Kingdom; 2008. pp. 600-605.
[10] Chang S, Chen P, Ting Y, Hung S. Robust current control-based sliding mode control with simple uncertainties estimation in permanent magnet synchronous motor drive systems[J]. IET Electric Power Applications 2010; 4 (6): 441-450.
[11] Utkin V, Shi J. Integral sliding mode in systems operating under uncertainty conditions. In: IEEE 35th Conference on Decision and Control; Kobe, Japan; 1996. pp. 4591-4596.
[12] Plestan F, Shtessel Y, Bregeault P. New methodologies for adaptive sliding mode control. International Journal of Control 2010; 83 (9): 1907-1919.
[13] Wang Z, Wang X, Cheng M, Hu Y. Comprehensive investigation on remedial operation of switch faults for dual three-phase PMSM drives fed by T-3L inverters. IEEE Transactions on Industrial Electronics 2018; 65 (6): 4574- 4587