An Improved Sliding Mode Control for PMSM Considering Sliding Mode Chattering and Disturbance Compensation

被引:0
|
作者
Zhao F. [1 ]
Luo W. [1 ]
Gao F. [1 ]
Yu J. [1 ]
机构
[1] School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou
关键词
Improved extended state observer; Novel reaching law; Permanent magnet synchronous motor (PMSM); Sliding mode control;
D O I
10.7652/xjtuxb202006004
中图分类号
学科分类号
摘要
An improved sliding mode control strategy for permanent magnet synchronous motor (PMSM) using novel reaching law and improved extended state observer is proposed to solve problems of sliding mode chattering, load disturbances and poor control accuracy in traditional sliding mode control system for PMSM. Firstly, a novel reaching law is proposed to solve the problem of sliding mode chattering, and an integral sliding mode controller based on the novel reaching law is designed in speed loop. The chattering suppression effect of the novel reaching law is analyzed by a difference equation. Secondly, a sliding mode control law is added to the extended state observer to solve the problem of disturbance compensation and to improve the adaptive ability of observer, and an improved extended state observer is designed to estimate disturbance torque. Then, the estimated disturbance torque value is served as a feedforward signal to compensate sliding mode controller in speed loop. The stability of the proposed control strategy is proved by Lyapunov criterion. Simulation results, and a comparison with the traditional sliding mode control show that the proposed controller obtains very nice system respond, effectively suppresses the sliding mode chattering and improves the estimation accuracy of torque and the control accuracy of system when the motor starts and is subjected to load disturbances. © 2020, Editorial Office of Journal of Xi'an Jiaotong University. All right reserved.
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页码:28 / 35
页数:7
相关论文
共 24 条
  • [1] WANG Kun, WANG Jianmei, WANG Fang, Et al., Sliding mode control for nonlinear system with mismatched uncertainties and application in motor control, Control Theory & Applications, 36, 1, pp. 143-150, (2019)
  • [2] ZOU Quan, QIAN Linfang, JIANG Qingshan, Adaptive fuzzy sliding-mode control for permanent magnet synchronous motor servo system, Control Theory & Applications, 32, 6, pp. 817-822, (2015)
  • [3] LIN F J, HUNG Y C, RUAN Kaichun, An intelligent second-order sliding-mode control for an electric power steering system using a wavelet fuzzy neural network, IEEE Transactions on Fuzzy Systems, 22, 6, pp. 1598-1611, (2014)
  • [4] TENG Qingfang, BAI Jianyong, ZHU Jianguo, Et al., Sensorless model predictive torque control using sliding-mode model reference adaptive system observer for permanent magnet synchronous motor drive systems, Control Theory & Applications, 32, 2, pp. 150-161, (2015)
  • [5] WU Huangyuan, WANG Shuanghong, GU Chenglin, Et al., An improved decoupling control strategy for the IPMSMS, Transactions of China Electrotechnical Society, 30, 1, pp. 30-37, (2015)
  • [6] VERRELLI C, BIFARETTI S, CARFAGNA E, Et al., Speed sensor fault tolerant PMSM machines: from position-sensorless to sensorless control, IEEE Transactions on Industry Applications, 5, 4, pp. 3946-3954, (2019)
  • [7] CHENG Yi, DU Qinjun, ZHANG Ming, Et al., A fault-tolerant control strategy and simulation analysis of five-phase permanent magnet motor with third-harmonic suppression, Journal of Xi'an Jiaotong University, 54, 2, pp. 95-102, (2020)
  • [8] WANG Hanxiao, LIU Ling, WU Huawei, A sensorless permanent magnet synchronous motor control strategy for improved sliding mode observers with stator parameters identification, Journal of Xi'an Jiaotong University, 50, 6, pp. 104-109, (2016)
  • [9] LIU Jing, LI Hongwen, DENG Yongting, Torque ripple minimization of PMSM based on robust ILC via adaptive sliding mode control, IEEE Transactions on Power Electronics, 33, 4, pp. 3655-3671, (2018)
  • [10] HU Quanlong, LIU Ling, YANG Hang, A sliding mode speed controller based on novel reaching law of permanent magnet synchronous motor system, Proceedings of 2017 Chinese Automation Congress, pp. 954-958, (2017)