Formation control for uncertain multiple robots by adaptive integral sliding mode

被引:2
|
作者
Qian, Dianwei [1 ]
Li, Chengdong [2 ]
机构
[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing, Peoples R China
[2] Shandong Jianzhu Univ, Sch Informat & Elect Engn, Jinan, Peoples R China
基金
中国国家自然科学基金;
关键词
Multiple robots; leader-follower mechanism; integral sliding mode control; fuzzy compensator; system stability; MOBILE ROBOTS; DESIGN;
D O I
10.3233/JIFS-169187
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper addresses a control scheme for formation maneuvers of a group of robots. The control scheme integrates an integral sliding mode (ISM) controller and a fuzzy compensator. The formation mechanism is leader-follower. The robots suffers from uncertainties. Chained to the uncertainties, the formation dynamics become uncertain. The control scheme needs to resist the formation uncertainties, meanwhile, the robots has to be formed up. Concerning the formation uncertainties, they are assumed to be unknown but bounded. Since they challenge the formation control, the fuzzy compensator is utilized to approximate them where an ISM-based adaptive law is deduced from the stability analysis. In the sense of Lyapunov, not only the convergence of the approximation error can be guaranteed, but also such a control scheme can asymptotically stabilize the formation system. Compared to the results by the sole ISM control, some numerical simulations are presented to demonstrate the feasibility and performance of the control scheme.
引用
收藏
页码:3021 / 3028
页数:8
相关论文
共 50 条
  • [41] Adaptive Sliding Mode Control for a Class of Uncertain Nonlinear Systems
    Duan, Hongjun
    Li, Qingwei
    ICIEA: 2009 4TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOLS 1-6, 2009, : 598 - +
  • [42] Distributed Adaptive Sliding Mode Formation Control for Multiple Unmanned Aerial Vehicles
    Wang, Zhengyang
    Fei, Qing
    Wang, Bo
    PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020), 2020, : 2105 - 2110
  • [43] Adaptive fuzzy sliding mode control for uncertain nonlinear systems
    Chen, ZM
    Zhang, JG
    Zhao, ZC
    Zeng, JC
    2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS, 2003, : 1044 - 1047
  • [44] Adaptive RCMAC sliding mode control for uncertain nonlinear systems
    Lin, CM
    Chen, CH
    NEURAL COMPUTING & APPLICATIONS, 2006, 15 (3-4): : 253 - 267
  • [45] Adaptive fuzzy sliding mode control scheme for uncertain systems
    Noroozi, Navid
    Roopaei, Mehdi
    Jahromi, M. Zolghadri
    COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2009, 14 (11) : 3978 - 3992
  • [46] A NEW ADAPTIVE SLIDING MODE CONTROL OF UNCERTAIN NONLINEAR SYSTEMS
    Liu, Zhitao
    Su, Hongye
    Pan, Shuwen
    ASIAN JOURNAL OF CONTROL, 2014, 16 (01) : 198 - 208
  • [47] Adaptive nonsingular terminal sliding mode control for rehabilitation robots
    Liang, Xiaoling
    Wang, Haibin
    Zhang, Yuexin
    COMPUTERS & ELECTRICAL ENGINEERING, 2022, 99
  • [48] Distributed adaptive sliding mode control of modular and reconfigurable robots
    Zhu, MingChao
    Li, Ying
    Li, YuanChun
    2007 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, 2007, : 1252 - 1257
  • [49] Adaptive Gain Sliding Mode Control in Uncertain MIMO Systems
    Roopaei, M.
    Balas, Valentina Emilia
    SOFA 2009: 3RD INTERNATIONAL WORKSHOP ON SOFT COMPUTING APPLICATIONS, PROCEEDINGS, 2009, : 75 - +