Decoupling Control for Parallel Robot Based on Equivalent-Input-Disturbance Approach

被引:0
|
作者
Lin, Pingping [1 ]
She, Jinhua [2 ,3 ,4 ]
Wu, Min [2 ,3 ]
Li, Qianqiu [1 ]
机构
[1] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China
[2] China Univ Geosci, Sch Automat, Wuhan 430074, Hubei, Peoples R China
[3] Hubei Key Lab Adv Control & Intelligent Automat C, Wuhan 430074, Hubei, Peoples R China
[4] Tokyo Univ Technol, Sch Engn, Tokyo 1920982, Japan
关键词
Parallel Robot; Decoupling Control; Equivalent Input Disturbance (EID); PID;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper discusses the problem of posture control for a parallel robot. The parallel robot features multiple variables and large nonlinearities. The control accuracy is strongly affected by the parameters which are coupled with each other, and by exogenous disturbances. A decoupling control strategy is presented based on the equivalent-input-disturbance (EID) approach to improve control performance. First, decoupling control is used to eliminate the main coupling effect between multiple variables. Then, the EID method is used to further improve decoupling effect and suppress the external disturbances. Simulation results show that the control strategy is effective for the decoupling control of parallel robot.
引用
收藏
页码:4895 / 4900
页数:6
相关论文
共 50 条
  • [31] A Modified Disturbance-Rejection Approach in Networked Control Systems Based on Adaptive Model Predictive Control and Equivalent-Input-Disturbance
    Li, Meiliu
    She, Jinhua
    Liu, Zhen-Tao
    He, Wangyong
    Wang, Feng
    Zhao, Juan
    Ohyama, Yasuhiro
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2022, 26 (04) : 495 - 503
  • [32] A Control System for the Ball Mill Grinding Process Based on Model Predictive Control and Equivalent-Input-Disturbance Approach
    Fang, Mingxing
    Zheng, Dezhi
    Qiu, Xiaoxiao
    Du, Youwu
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2016, 20 (07) : 1152 - 1158
  • [33] Reconstruction of pitchfork bifurcation with exogenous disturbances based on equivalent-input-disturbance approach
    She, Jinhua
    Yin, Xiang
    Wu, Min
    Sato, Daiki
    Ohnishi, Kouhei
    NONLINEAR DYNAMICS, 2020, 102 (04) : 2699 - 2709
  • [34] Hierarchical Fault Diagnosis for Power Systems Based on Equivalent-Input-Disturbance Approach
    Hu, Bo
    She, Jinhua
    Yokoyama, Ryuichi
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2013, 60 (08) : 3529 - 3538
  • [35] Tracking and Disturbance Suppression of the Radio Telescope Servo System Based on the Equivalent-Input-Disturbance Approach
    Yang, Lei
    Wang, Na
    Liu, Zhiyong
    Li, Ning
    ADVANCES IN ASTRONOMY, 2024, 2024
  • [36] Disturbance Rejection for Systems With Uncertainties Based on Fixed-Time Equivalent-Input-Disturbance Approach
    Qun Lu
    Xiang Wu
    Jinhua She
    Fanghong Guo
    Li Yu
    IEEE/CAA Journal of Automatica Sinica, 2024, 11 (12) : 2384 - 2395
  • [37] An Adaptive Filter-Based Equivalent-Input-Disturbance Approach for Networked Control Systems With Measurement Noise
    Wu, Xiang
    Huang, Guangpu
    Guo, Fanghong
    Lu, Qun
    She, Jinhua
    Yu, Li
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2023, 70 (06) : 6170 - 6179
  • [38] Quadrotor waypoint-tracking control under exogenous disturbances based on equivalent-input-disturbance approach
    Cai, Wenjing
    She, Jinhua
    Wu, Min
    Ohyama, Yasuhiro
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2020, 357 (08): : 4709 - 4741
  • [39] Robust disturbance rejection for a fractional-order system based on equivalent-input-disturbance approach
    Ruijuan LIU
    Jinhua SHE
    Min WU
    Fenfang ZHU
    Zhuoyun NIE
    Science China(Information Sciences), 2018, 61 (07) : 200 - 211
  • [40] Disturbance Rejection Based on Equivalent-Input-Disturbance Approach Using High-Order Filter
    Mei, Qicheng
    She, Jinhua
    Liu, Zhentao
    Xiong, Yonghua
    He, Wangyong
    Li, Danyun
    2021 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS (ICM), 2021,