Permanent Magnet Synchronous Motor Control Based on Adaptive Reaching Law

被引:0
|
作者
Liu, Jingang [1 ]
Li, Ruiqi [1 ]
Lin, Huiming [2 ]
Liu, Xianghuan [3 ]
Zheng, Jianyun [1 ]
Yang, Hongmei [1 ]
机构
[1] Xiangtan Univ, Sch Math & Computat Sci, Xiangtan, Peoples R China
[2] Quzhou Pole Elect Vehicle Technol Co LTD, Lianyungang, Peoples R China
[3] Zhuzhou Gear Co Ltd, Zhuzhou, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Sliding mode control; Adaptive sliding mode reaching law; Permanent magnet synchronous motor (PMSM); Extended state observer (ESO); Lyapunov function; SLIDING-MODE CONTROL; SPEED CONTROL;
D O I
10.4271/14-14-01-0004
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
In order to improve the speed control performance of permanent magnet synchronous motor (PMSM) under disturbance, an adaptive reaching law sliding mode control (ASMC) is proposed. The objectives are to accelerate the control stabilization time and reduce chattering in speed control. Based on Lyapunov stability theory, the effectiveness of the scheme is proven. Based on the traditional index reaching law (T_SMRL), the adaptive sliding mode reaching law (ASMRL) introduces the adaptive adjustment terms of chattering, system state, and reaching speed, and uses hyperbolic tangent function instead of sign function. The effectiveness of the ASMRL is proved by theoretical analysis and numerical simulation. Compared with the T_SMRL and improved sliding mode control (I_SMC), the convergence is 33% faster and the chattering is 30% less. In addition, based on the ASMRL, the motor speed control system is established. An extended state observer (ESO) is designed in the surface PMSM (SPMSM) control system. It is used to estimate the disturbance and compensate the disturbance to the sliding mode control (SMC). The simulation results show that compared with three methods, the ASMC+ESO has faster convergence speed and better anti- disturbance performance.
引用
收藏
页码:55 / 68
页数:14
相关论文
共 50 条
  • [41] A New Exponential Power Combined Reaching Law Sliding-mode Control for Permanent Magnet Synchronous Motor
    Xiu, Chunbo
    Yuan, Liu
    Li, Jiaming
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 230 - 235
  • [42] Control of Permanent Magnet Synchronous Motor Based on GPC
    Pan Ai-xian
    Wang Guang-yi
    Huang Dong
    2008 4TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, NETWORKING AND MOBILE COMPUTING, VOLS 1-31, 2008, : 5063 - 5066
  • [43] Permanent Magnet Synchronous Motor Speed Control System Based on Adaptive Inverse Control Method
    Chen Z.
    Xue Z.
    Fang H.
    Luo G.
    Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University, 2019, 37 (04): : 824 - 829
  • [44] An Adaptive Control Based on Fuzzy Hierarchical Approach for the Permanent Magnet Linear Synchronous Motor
    Ai, Wu
    Yan, Guangya
    Chen, Youping
    Li, Chenguang
    ICEMS 2008: PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ELECTRICAL MACHINES AND SYSTEMS, VOLS 1- 8, 2008, : 1641 - 1644
  • [45] Sensorless Control of Permanent Magnet Synchronous Motor Based on Adaptive Sliding Mode Observer
    Xu Shizhou
    Jia Xinxin
    Fan Jingsheng
    Chang Jinhai
    PROCEEDINGS OF 2023 INTERNATIONAL CONFERENCE ON WIRELESS POWER TRANSFER, VOL 2, ICWPT 2023, 2024, 1159 : 245 - 253
  • [46] Sensorless Control of Permanent Magnet Synchronous Motor Based on Model Reference Adaptive System
    Xing, Yan
    Wang, Xu
    Yang, Dan
    Zhang, Zhi-mei
    2017 10TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL. 1, 2017, : 20 - 23
  • [47] Fuzzy-approximation-based adaptive control of the chaotic permanent magnet synchronous motor
    Jinpeng Yu
    Bing Chen
    Haisheng Yu
    Nonlinear Dynamics, 2012, 69 : 1479 - 1488
  • [48] Research on Permanent Magnet Synchronous Motor Control System Based on Adaptive Kalman Filter
    Cui, Jiadong
    Xing, Wenhao
    Qin, Huibin
    Hua, Yongzhu
    Zhang, Xin
    Liu, Xinran
    APPLIED SCIENCES-BASEL, 2022, 12 (10):
  • [49] Adaptive Passivity-based Control for Speed Regulation of Permanent Magnet Synchronous Motor
    Liu, Zhitao
    Du, Jiani
    Stimming, Ulrich
    Wang, Youyi
    PROCEEDINGS OF THE 2014 9TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2014, : 645 - +
  • [50] Fuzzy-approximation-based adaptive control of the chaotic permanent magnet synchronous motor
    Yu, Jinpeng
    Chen, Bing
    Yu, Haisheng
    NONLINEAR DYNAMICS, 2012, 69 (03) : 1479 - 1488