Adaptive-Neuro-Learning Tracking Control for the Permanent Magnet Synchronous Motor with Full-State Prescribed Performances and Time Delays

被引:0
|
作者
Li, Tandong [1 ]
Li, Shaobo [1 ,2 ]
Zhang, Junxing [2 ]
Sun, Hang [3 ]
Zheng, Chaojie [1 ]
Lv, Dongchao [1 ]
机构
[1] Guizhou Univ, Sch Mech Engn, Guiyang, Peoples R China
[2] Guizhou Univ, State Key Lab Publ Big Data, Guiyang, Peoples R China
[3] Guizhou Prov Acad Agr Sci, Guizhou Agr Sci, Guiyang, Peoples R China
关键词
DYNAMIC SURFACE CONTROL; STOCHASTIC NONLINEAR-SYSTEMS; FUZZY CONTROL; PMSM; APPROXIMATION; CONSTRAINTS;
D O I
10.1155/2023/9926188
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
High-performance tracking control is essential for permanent magnet synchronous motors in the perturbed environment. Given this, a new hybrid controller is proposed in this study for a permanent magnet synchronous motor with load disturbances as well as time delays. First, a new prescribed performance method is proposed to achieve the full-state performance constraints with load disturbances. Second, a time-varying filter is proposed for the first time to avoid the "complexity explosion" problem of the backstepping method while guaranteeing the convergence of the filtering error. Third, by combining Lyapunov-Krasovskii functionals with adaptive neural networks, the time-delay disturbance and unknown nonlinear dynamics of the control system have been solved. The stability analysis proves that all signals in the closed-loop system are bounded. To show the effectiveness of the intelligent controller, the comparison simulations are given to confirm the advantages of the proposed adaptive neural control scheme.
引用
收藏
页数:24
相关论文
共 50 条
  • [1] Neuro-adaptive finite-time optimal tracking control for permanent magnet synchronous motors with full-state constraints
    Ding, Lusong
    Wang, Wei
    Yu, Yang
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2023, 37 (03) : 856 - 878
  • [2] Finite-time adaptive NN control for permanent magnet synchronous motors with full-state constraints
    Ding, Lusong
    Wang, Wei
    Yu, Yang
    NEUROCOMPUTING, 2021, 449 : 435 - 442
  • [3] Adaptive Prescribed-Time Tracking Control of Spacecraft with Deferred Full-State Constraints
    Li, Jun
    Huang, Ziyang
    Huang, Bing
    JOURNAL OF AEROSPACE ENGINEERING, 2023, 36 (01)
  • [4] Adaptive nonlinear tracking control of permanent magnet synchronous motor
    China Metrology University, Hangzhou 310018, China
    Diangong Jishu Xuebao, 2006, 1 (82-85+97):
  • [5] Adaptive fuzzy fixed-time tracking control for permanent magnet synchronous motor
    Yue, Hanxue
    Wang, Huanqing
    Wang, Yueying
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2022, 32 (05) : 3078 - 3095
  • [6] Command filtering-based adaptive fuzzy control for permanent magnet synchronous motors with full-state constraints
    Zou, Mingjun
    Yu, Jinpeng
    Ma, Yumei
    Zhao, Lin
    Lin, Chong
    INFORMATION SCIENCES, 2020, 518 : 1 - 12
  • [7] Finite-time control for permanent magnet synchronous motor with prescribed performance
    Chen Z.-Y.
    Lin Z.
    Jia H.-M.
    Wang P.
    Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2021, 38 (04): : 479 - 488
  • [8] Barrier Lyapunov Functions-Based Adaptive Neural Control for Permanent Magnet Synchronous Motors With Full-State Constraints
    Liu, Yingying
    Yu, Jinpeng
    Yu, Haisheng
    Lin, Chong
    Zhao, Lin
    IEEE ACCESS, 2017, 5 : 10382 - 10389
  • [9] ADAPTIVE FUZZY BACKSTEPPING POSITION TRACKING CONTROL FOR A PERMANENT MAGNET SYNCHRONOUS MOTOR
    Yu, Jinpeng
    Ma, Yumei
    Chen, Bing
    Yu, Haisheng
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2011, 7 (04): : 1589 - 1601
  • [10] Adaptive Time Delay Control of Permanent Magnet Linear Synchronous Motor
    Ji X.
    Zhao X.
    Zhao, Ximei (zhaoxm_sut@163.com), 1600, China Machine Press (35): : 1231 - 1238