The trajectory tracking of robots: Via a fuzzy linear pulse transfer function.. matrix based variable structure control

被引:0
|
作者
Hwang, CL [1 ]
Lin, HY [1 ]
Chau, J [1 ]
机构
[1] Tatung Univ, Dept Mech Engn, Taipei, Taiwan
关键词
robot; fuzzy pulse transfer function matrix; dead-beat control; Lyapunov redesign; discrete variable structure control;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Due to the complexity of robot, its exact description is difficult. On the contrary, a linear model about a specific operating point for a nominal robot is easy. Then, a nominal robot can be approximated by the weighted combination of N subsystems described by the pulse transfer function matrices. The approximation error between the robot and the fuzzy linear pulse transfer function matrix system (FLPTFMS) includes two categories: the structural one caused by parameter variations and the unstructural one caused by measurement noise, and external disturbance. The approximation error is represented by the weighted combination of the output disturbance in every subsystem. In addition, the output response of the ith closed-loop subsystem is subjected to the uncertainties caused by the output disturbance and the interaction dynamics resulting from the other subsystems. Due to the existence of the (remaining) uncertainties, a disadvantageous response often occurs. Under the circumstances, a switching control in every subsystem is designed to reinforce the system performance. The experiments of two-joint robot in the horizontal plane with (or without) payload confirm the practicality of the proposed control.
引用
收藏
页码:242 / 247
页数:6
相关论文
共 50 条
  • [31] Nonholonomic Wheeled Mobile Robot Trajectory Tracking Control Based on Improved Sliding Mode Variable Structure
    Cen, Hua
    Singh, Bhupesh Kumar
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2021, 2021
  • [32] Trajectory tracking of car-like mobile robots using mixed H2/H∞ decentralized variable structure control
    Hwang, CL
    Han, SY
    Chang, LJ
    2005 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS, 2005, : 520 - 525
  • [33] Fuzzy linear pulse-transfer function-based sliding-mode control for nonlinear discrete-time systems
    Hwang, CL
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2002, 10 (02) : 187 - 197
  • [34] Variable gain based composite trajectory tracking control for 4-wheel skid-steering mobile robots with unknown disturbances
    Zhang, Jinhui
    Li, Sihang
    Meng, Huan
    Li, Zhihui
    Sun, Zhongqi
    CONTROL ENGINEERING PRACTICE, 2023, 132
  • [35] Intelligent Vehicle Trajectory Tracking Control Based on Variable Universe Fuzzy Rule Speed Planning and Piecewise Preview Model Prediction
    Zhang, Jie
    Teng, Shipeng
    Gao, Jianjie
    Zhou, Xingxing
    Zhou, Junchao
    SAE INTERNATIONAL JOURNAL OF COMMERCIAL VEHICLES, 2025, 18 (01) : 93 - 112
  • [36] Cooperative Game-based Optimal Tracking Control for Modular Reconfigurable Robots via Generalized Fuzzy Hyperbolic Models
    Zhu, Xinye
    Wang, Gang
    An, Tianjiao
    Dong, Bo
    2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 1696 - 1701
  • [37] Characteristic transfer function matrix-based linear feedback control system analysis and synthesis
    Tagawa, Yasutaka
    Tagawa, Ryozaburo
    Stoten, David
    INTERNATIONAL JOURNAL OF CONTROL, 2009, 82 (04) : 585 - 602
  • [38] A fuzzy-linear-model-based variable structure control for nonlinear discrete-time systems
    Hwang, CL
    IECON 2000: 26TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, VOLS 1-4: 21ST CENTURY TECHNOLOGIES AND INDUSTRIAL OPPORTUNITIES, 2000, : 536 - 541
  • [39] Trajectory tracking of large-displacement piezoelectric actuators using a nonlinear observer-based variable structure control
    Hwang, CL
    Chen, YM
    Jan, C
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2005, 13 (01) : 56 - 66
  • [40] Model-based fuzzy variable impedance sliding-mode control for trajectory tracking in physical human-robot interaction
    Ye, Lan
    Sun, Chao
    Qiu, Zhimin
    PROCEEDINGS OF 2020 IEEE 5TH INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC 2020), 2020, : 871 - 876