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 21 条
  • [1] Decentralised formation control and stability analysis for multi-vehicle cooperative manoeuvre
    Yang, Aolei
    Naeem, Wasif
    Fei, Minrui
    [J]. Yang, Aolei (ayang02@qub.ac.uk), 1600, Institute of Electrical and Electronics Engineers Inc. (01): : 92 - 100
  • [2] A Novel Robust Leader-Following Control Design for Mobile Robots
    Biglarbegian, Mohammad
    [J]. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2013, 71 (3-4) : 391 - 402
  • [3] Chang YH, 2014, INT J FUZZY SYST, V16, P121
  • [4] A Reinforcement-Learning-Based Fuzzy Compensator for a Microcontroller-Based Frequency Synthesizer/Vector Voltmeter
    Chatterjee, Amitava
    Sarkar, Gautam
    Rakshit, Anjan
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2011, 60 (09) : 3120 - 3127
  • [5] Reaching a consensus in networks of high-order integral agents under switching directed topologies
    Cheng, Long
    Wang, Hanlei
    Hou, Zeng-Guang
    Tan, Min
    [J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2016, 47 (08) : 1966 - 1981
  • [6] Symmetric caging formation for convex polygonal object transportation by multiple mobile robots based on fuzzy sliding mode control
    Dai, Yanyan
    Kim, YoonGu
    Wee, SungGil
    Lee, DongHa
    Lee, SukGyu
    [J]. ISA TRANSACTIONS, 2016, 60 : 321 - 332
  • [7] Sliding-Mode Formation Control for Cooperative Autonomous Mobile Robots
    Defoort, Michael
    Floquet, Thierry
    Koekoesy, Annemarie
    Perruquetti, Wilfrid
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2008, 55 (11) : 3944 - 3953
  • [8] Robust Adaptive Control of MEMS Triaxial Gyroscope Using Fuzzy Compensator
    Fei, Juntao
    Zhou, Jian
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2012, 42 (06): : 1599 - 1607
  • [9] Adaptable Robot Formation Control Adaptive and Predictive Formation Control of Autonomous Vehicles
    Guillet, Audrey
    Lenain, Roland
    Thuilot, Benoit
    Martinet, Philippe
    [J]. IEEE ROBOTICS & AUTOMATION MAGAZINE, 2014, 21 (01) : 28 - 39
  • [10] Coordination in Navigation of Multiple Mobile Robots
    Kala, Rahul
    [J]. CYBERNETICS AND SYSTEMS, 2014, 45 (01) : 1 - 24