Distributed output feedback consensus tracking control of multiple nonholonomic mobile robots with only position information of leader

被引:9
作者
Zou, Ying [1 ]
Deng, Chao [2 ]
Dong, Lu [3 ]
Ding, Lei [2 ]
Lu, Ming [1 ]
机构
[1] Hunan Univ Sci & Technol, Sch Informat & Elect Engn, Xiangtan 411201, Peoples R China
[2] Nanjing Univ Posts & Telecommun, Inst Adv Technol, Nanjing 210003, Peoples R China
[3] Southeast Univ, Sch Cyber Sci & Engn, Nanjing 211189, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Distributed control; Adaptive control; Backstepping; Nonholonomic mobile robots; Consensus; MODE FORMATION CONTROL; FINITE-TIME CONSENSUS; NONLINEAR-SYSTEMS; DISCRETE;
D O I
10.1016/j.amc.2022.126962
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, distributed output feedback consensus tracking control of multiple nonholonomic mobile robots with limited information of leader is studied. Different from the existing results, the considered consensus problem has the following features: (i) each robot is described by a second-order dynamic model with parametric uncertainty and external disturbances, (ii) the global information of the directed graphs is not required, (iii) only the position of the leader is available for a subset of robots and thus its velocity information is no longer needed. To solve such a problem, an adaptive output feedback control scheme which involves estimator, observer and controller design is proposed. A fully distributed estimator is constructed to estimate the position of the leader for each robot. Based on the estimated information, an adaptive observer-based output feedback controller is designed to realize consensus tracking. It is shown that the boundedness of all the signals in the resulting closed-loop system is guaranteed, and the consensus tracking error of the system converges to an adjustable neighborhood of zero by appropriately choosing design parameters. Simulation results are provided to verify the effectiveness of the proposed scheme. (c) 2022 Elsevier Inc. All rights reserved.
引用
收藏
页数:15
相关论文
共 40 条
[1]   BEST CONSTANTS IN YOUNGS INEQUALITY, ITS CONVERSE, AND ITS GENERALIZATION TO MORE THAN 3 FUNCTIONS [J].
BRASCAMP, HJ ;
LIEB, EH .
ADVANCES IN MATHEMATICS, 1976, 20 (02) :151-173
[2]   Consensus of multiple nonholonomic chained form systems [J].
Cao, Ke-Cai ;
Jiang, Bin ;
Yue, Dong .
SYSTEMS & CONTROL LETTERS, 2014, 72 :61-70
[3]   Robust Output Feedback Sliding Mode State and Disturbance Observer-based Controller Design for Nonlinear Systems [J].
Chang, Jeang-Lin ;
Wu, Tsui-Chou .
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2021, 19 (04) :1550-1559
[4]  
Chang XH, 2014, STUD SYST DECIS CONT, V7, P1, DOI 10.1007/978-3-642-55107-9
[5]   Observer-based fuzzy feedback control for nonlinear systems subject to transmission signal quantization [J].
Chang, Xiao-Heng ;
Jin, Xue .
APPLIED MATHEMATICS AND COMPUTATION, 2022, 414
[6]   Robust finite-time consensus formation control for multiple nonholonomic wheeled mobile robots via output feedback [J].
Cheng, Yingying ;
Jia, Ruting ;
Du, Haibo ;
Wen, Guanghui ;
Zhu, Wenwu .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2018, 28 (06) :2082-2096
[7]   Design and implementation of an adaptive fuzzy logic-based controller for wheeled mobile robots [J].
Das, Tamoghna ;
Kar, Indra Narayan .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2006, 14 (03) :501-510
[8]   Sliding-Mode Formation Control for Cooperative Autonomous Mobile Robots [J].
Defoort, Michael ;
Floquet, Thierry ;
Koekoesy, Annemarie ;
Perruquetti, Wilfrid .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2008, 55 (11) :3944-3953
[9]   Learning-Based Distributed Resilient Fault-Tolerant Control Method for Heterogeneous MASs Under Unknown Leader Dynamic [J].
Deng, Chao ;
Jin, Xiao-Zheng ;
Che, Wei-Wei ;
Wang, Hai .
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2022, 33 (10) :5504-5513
[10]   Distributed adaptive fault-tolerant control approach to cooperative output regulation for linear multi-agent systems [J].
Deng, Chao ;
Yang, Guang-Hong .
AUTOMATICA, 2019, 103 :62-68