Adaptive Sliding Mode Based Position Tracking Control for PMSM Drive System With Desired Nonlinear Friction Compensation

被引:11
作者
Zou, Quan [1 ]
Sun, Le [2 ]
Chen, Dong [1 ]
Wang, Kuan [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Mech Engn, Nanjing 210094, Peoples R China
[2] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China
来源
IEEE ACCESS | 2020年 / 8卷
关键词
Friction; Observers; Control systems; Uncertainty; Mathematical model; Estimation error; Adaptation models; Adaptive reaching law; desired friction compensation; permanent-magnet synchronous motor; position tracking control; sliding mode control; state and disturbance estimation; OBSERVER;
D O I
10.1109/ACCESS.2020.3022956
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The output feedback position tracking control of permanent-magnet synchronous motor (PMSM) drive system is addressed in this paper. In order to obtain a differentiable disturbance theoretically, a continuous differentiable model is employed to model the nonlinear friction, and the desired velocity, rather than the measured or estimated velocity, is used in the friction compensation. Then, based on the desired friction compensation model, the reaching law based sliding mode controller is designed to make the position tracking error as small as possible in the presence of model uncertainties and load disturbance, and the gain of the reaching law is online tuned to adapt the variations of the controlled system. Moreover, a nonlinear extended state observer (NESO) is designed to simultaneously estimate the unmeasured states and unknown disturbance to guarantee the finite time stability of the proposed controller, and the designed NESO is proven to be exponentially stable and has zero estimation errors theoretically. Simulations and experimental results are given to verify the effectiveness of the proposed control scheme.
引用
收藏
页码:166150 / 166163
页数:14
相关论文
共 42 条
  • [1] Geometric homogeneity with applications to finite-time stability
    Bhat, SP
    Bernstein, DS
    [J]. MATHEMATICS OF CONTROL SIGNALS AND SYSTEMS, 2005, 17 (02) : 101 - 127
  • [2] Disturbance-Observer-Based Control and Related Methods-An Overview
    Chen, Wen-Hua
    Yang, Jun
    Guo, Lei
    Li, Shihua
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (02) : 1083 - 1095
  • [3] A nonlinear disturbance observer for robotic manipulators
    Chen, WH
    Ballance, DJ
    Gawthrop, PJ
    O'Reilly, J
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2000, 47 (04) : 932 - 938
  • [4] Adaptive sliding mode current control with sliding mode disturbance observer for PMSM drives
    Deng, Yongting
    Wang, Jianli
    Li, Hongwen
    Liu, Jing
    Tian, Dapeng
    [J]. ISA TRANSACTIONS, 2019, 88 : 113 - 126
  • [5] Enhanced continuous higher order sliding mode control with adaptation
    Edwards, C.
    Shtessel, Y.
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2019, 356 (09): : 4773 - 4784
  • [6] Sliding-Mode Robot Control With Exponential Reaching Law
    Fallaha, Charles J.
    Saad, Maarouf
    Kanaan, Hadi Youssef
    Al-Haddad, Kamal
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2011, 58 (02) : 600 - 610
  • [7] Dynamic Terminal Sliding-Mode Control for Single-Phase Active Power Filter Using New Feedback Recurrent Neural Network
    Fei, Juntao
    Chen, Yun
    [J]. IEEE TRANSACTIONS ON POWER ELECTRONICS, 2020, 35 (09) : 9904 - 9922
  • [8] Chattering free full-order sliding-mode control
    Feng, Yong
    Han, Fengling
    Yu, Xinghuo
    [J]. AUTOMATICA, 2014, 50 (04) : 1310 - 1314
  • [9] DISCRETE-TIME VARIABLE-STRUCTURE CONTROL-SYSTEMS
    GAO, WB
    WANG, YF
    HOMAIFA, A
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 1995, 42 (02) : 117 - 122
  • [10] Guo B., 2016, ACTIVE DISTURBANCE R