Constraint-following control design for the position tracking of a permanent magnet linear motor with inequality constraints

被引:4
|
作者
Chen, Xiaofei [1 ]
Zhao, Han [1 ,2 ]
Zhen, Shengchao [1 ,2 ]
机构
[1] Hefei Univ Technol, Sch Mech Engn, Hefei, Peoples R China
[2] Hefei Univ Technol, Anhui Key Lab Digital Design & Mfg, Hefei, Peoples R China
基金
中国国家自然科学基金;
关键词
PRECISION MOTION CONTROL; MECHANICAL SYSTEMS; EQUATIONS;
D O I
10.5194/ms-13-297-2022
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In this paper, we mainly solve the problem of the trajectory following the control and boundary transfinite control of the permanent magnet linear motor (PMLM). Using the Udwadia-Kalaba (U-K) method, the explicit equation of the complete nonholonomic constraint equation is first established, and then the new input constraint equation is obtained by integrating the inequality constraint and the original equation constraint through tangent-state transformation mapping. This constraint equation can make the motor move along the ideal trajectory in a limited range, thus solving the control problem of equality and inequality creatively. The simulation results and PMLM experiment results, based on control Signal Processing And Control Engineering (cSPACE), show that the proposed control method can obtain better motion performance, and the motion displacement does not exceed the boundary while satisfying the trajectory tracking control performance, which proves the effectiveness and feasibility of the proposed method.
引用
收藏
页码:297 / 310
页数:14
相关论文
共 25 条
  • [1] Robust approximate constraint-following control design for permanent magnet linear motor and experimental validation
    Huang, Kang
    Wang, Mianhao
    Sun, Hao
    Zhen, Shengchao
    JOURNAL OF VIBRATION AND CONTROL, 2021, 27 (1-2) : 119 - 128
  • [2] Robust constraint-following control for permanent magnet linear motor with optimal design: A fuzzy approach
    Liu, Xiaoli
    Wu, Qilin
    Zhen, Shengchao
    Zhao, Han
    Li, Chuanyang
    Chen, Ye-Hwa
    INFORMATION SCIENCES, 2022, 600 : 362 - 376
  • [3] Robust control and experimental validation of trajectory tracking for permanent magnet linear motors based on constraint-following under uncertainty
    Zhen, Shengchao
    Huang, Chenghui
    Liu, Xiaoli
    Chen, Ye-Hwa
    ROBOTICA, 2024, 42 (03) : 625 - 643
  • [4] Robust Bounded Control Design and Experimental Verification for Permanent Magnet Linear Motor With Inequality Constraints
    Zhen, Shengchao
    Zhang, Meng
    Liu, Xiaoli
    Zhao, Han
    Chen, Ye-Hwa
    Chen, Xiaofei
    IEEE ACCESS, 2022, 10 : 96886 - 96895
  • [5] A practical robust bounded control for permanent magnet linear motor with inequality constraints
    Zhen, Shengchao
    Hao, Junjian
    Liu, Xiaoli
    Wu, Qilin
    Zhao, Han
    Chen, Ye-Hwa
    CONTROL ENGINEERING PRACTICE, 2022, 122
  • [6] Design and application of a novel approximate constraint tracking robust control for permanent magnet synchronous motor
    Guo, ZiYu
    Zhen, ShengChao
    Liu, XiaoLi
    Zhong, HuaYong
    Yin, Jian
    Chen, Ye-Hwa
    COMPUTERS & CHEMICAL ENGINEERING, 2023, 173
  • [7] Constraint-following Servo Control Design for Mechanical Systems
    Chen, Ye-Hwa
    JOURNAL OF VIBRATION AND CONTROL, 2009, 15 (03) : 369 - 389
  • [8] Fuzzy-Set Theory Based Optimal Robust Design for Position Tracking Control of Permanent Magnet Linear Motor
    Liu, Xiaoli
    Zhen, Shengchao
    Zhao, Han
    Sun, Hao
    Chen, Ye-Hwa
    IEEE ACCESS, 2019, 7 : 153829 - 153841
  • [9] A Novel Model-Based Robust Control for Position Tracking of Permanent Magnet Linear Motor
    Liu, Xiaoli
    Zhen, Shengchao
    Sun, Hao
    Zhao, Han
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (09) : 7767 - 7777
  • [10] Robust Approximate Constraint-Following Control Design Based on Udwadia-Kalaba Theory and Experimental Verification for Collaborative Robots With Inequality Constraints and Uncertainties
    Ma, Xinbao
    Zhen, Shengchao
    Meng, Chaoqun
    Liu, Xiaoli
    Meng, Guanjun
    Chen, Ye-Hwa
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2025, 35 (06) : 2199 - 2212