Decentralized adaptive fuzzy sliding, mode control for reconfigurable modular manipulators

被引:71
|
作者
Zhu, Mingchao [1 ]
Li, Yuanchun [1 ]
机构
[1] Jilin Univ, Dept Control Sci & Eng, Changchun 130022, Peoples R China
关键词
reconfigurable modular manipulators; decentralized control; adaptive control; fuzzy control; sliding mode control; ROBOT MANIPULATORS; ROBUST-CONTROL; SYSTEMS;
D O I
10.1002/rnc.1444
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A stable decentralized adaptive fuzzy sliding mode control scheme is proposed for reconfigurable modular manipulators to satisfy the concept of modular software. For the development of the decentralized control. the dynamics Of reconfigurable modular manipulators, is represented as a set of interconnected subsystems. A first-order Takagi-Sugeno fuzzy logic system is introduced to approximate the unknown dynamics of subsystem by Using adaptive algorithm. The effect of interconnection term and fuzzy approximation error is removed by employing an adaptive sliding mode controller. All adaptive algorithms in file subsystem controller are derived from (lie sense of Lyapunov stability analysis, so that resulting closed-loop system is stable and the trajectory tracking performance is guaranteed. The simulation results are presented to show the effectiveness of the proposed decentralized control scheme. Copyright (C) 2009 John Wiley & Sons. Ltd.
引用
收藏
页码:472 / 488
页数:17
相关论文
共 50 条
  • [41] Force/position control of constrained reconfigurable manipulators with sliding mode control based on adaptive neural network
    Ruchika
    Kumar, Naveen
    [J]. INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 2023, 42 (03) : 259 - 269
  • [42] ADAPTIVE SLIDING MODE CONTROL METHOD for RECONFIGURABLE MODULAR ROBOTS under DYNAMIC CONSTRAINTS
    Deng, Zhaohui
    Zhu, He
    Lin, Shunsheng
    [J]. Academic Journal of Manufacturing Engineering, 2020, 18 (01): : 16 - 20
  • [43] Adaptive fuzzy sliding mode control using supervisory fuzzy control for 3 DOF planar robot manipulators
    Amer, Ahmed F.
    Sallam, Elsayed A.
    Elawady, Wael M.
    [J]. APPLIED SOFT COMPUTING, 2011, 11 (08) : 4943 - 4953
  • [44] Robust adaptive fuzzy sliding mode trajectory tracking control for serial robotic manipulators
    Yin, Xiuxing
    Pan, Li
    Cai, Shibo
    [J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2021, 72
  • [45] Fuzzy Disturbance Observer-based Adaptive Backstepping Sliding Mode Control of Manipulators
    Wei, Wu
    Xia, Shoucheng
    Pang, Jiankun
    Chen, Yao
    [J]. 2019 9TH IEEE ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL, AND INTELLIGENT SYSTEMS (IEEE-CYBER 2019), 2019, : 1224 - 1229
  • [46] Robust control strategy for electrically driven robot manipulators: adaptive fuzzy sliding mode
    Soltanpour, Mohammad Reza
    Otadolajam, Pooria
    Khooban, Mohammad Hassan
    [J]. IET SCIENCE MEASUREMENT & TECHNOLOGY, 2015, 9 (03) : 322 - 334
  • [47] An adaptive fuzzy controller based on sliding mode for robot manipulators
    Sun, FC
    Sun, ZQ
    Feng, G
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 1999, 29 (05): : 661 - 667
  • [48] A revised adaptive fuzzy sliding mode controller for robotic manipulators
    Lu, Xiaosong
    Schwartz, Howard M.
    [J]. International Journal of Modelling, Identification and Control, 2008, 4 (02) : 127 - 133
  • [49] Adaptive fuzzy controller based on sliding mode for robot manipulators
    Tsinghua Univ, Beijing, China
    [J]. IEEE Trans Syst Man Cybern Part B Cybern, 5 (661-667):
  • [50] Design of adaptive fuzzy sliding mode controller for robot manipulators
    Sun, FC
    Sun, ZQ
    Feng, G
    [J]. FUZZ-IEEE '96 - PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3, 1996, : 62 - 67