Fixed-time sliding mode estimator-based distributed formation control for multiple nonholonomic mobile robots

被引:3
作者
Gu, Yao [1 ]
Yue, Ming [1 ,2 ,4 ]
Liu, Hongshuo [1 ]
Su, Longfei [1 ]
Zhao, Xudong [3 ]
机构
[1] Dalian Univ Technol, Sch Mech Engn, Dalian, Peoples R China
[2] Dalian Univ Technol, Ningbo Inst, Ningbo, Peoples R China
[3] Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian, Peoples R China
[4] Dalian Univ Technol, Sch Mech Engn, 2 Linggong Rd, Dalian 116024, Peoples R China
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Fixed-time; sliding mode estimator; distributed formation control; nonholonomic mobile robot; stability analysis; FOLLOWER FORMATION CONTROL;
D O I
10.1177/09544062231221626
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper proposes a fixed-time estimator-based distributed formation controller for a system consisting of multiple nonholonomic mobile robots, taking into consideration the stability of individuals and the effectiveness of internal communication. The desired trajectory of the formation is given by the virtual leader whose state is available only to some followers, and the information interaction within the followers is localized. To begin with, a distributed fixed-time sliding mode estimator is designed for each follower to estimate the state information of the virtual leader within a fixed time. Subsequently, based on the estimator, a formation controller is designed according to the trajectory tracking error of each follower. In addition, the Lyapunov function is constructed for stability analysis. Finally, simulation experiments are conducted in MATLAB/Simulink to demonstrate the effectiveness of the proposed estimator and controller, and the robustness of the control system is further verified by combining the actual situation of communication interruption and external disturbance.
引用
收藏
页码:6549 / 6559
页数:11
相关论文
共 40 条
[1]   Adaptive fractional tracking control of robotic manipulator using fixed-time method [J].
Ahmed, Saim ;
Azar, Ahmad Taher .
COMPLEX & INTELLIGENT SYSTEMS, 2024, 10 (01) :369-382
[2]   Trajectory Tracking Control of Euler-Lagrange Systems Using a Fractional Fixed-Time Method [J].
Ahmed, Saim ;
Azar, Ahmad Taher ;
Tounsi, Mohamed ;
Anjum, Zeeshan .
FRACTAL AND FRACTIONAL, 2023, 7 (05)
[3]   Distributed Coordinated Tracking With Reduced Interaction via a Variable Structure Approach [J].
Cao, Yongcan ;
Ren, Wei .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2012, 57 (01) :33-48
[4]   Finite-time velocity-free observer-based consensus tracking for heterogeneous uncertain AUVs via adaptive sliding mode control [J].
Chen, Bo ;
Hu, Jiangping ;
Zhao, Yiyi ;
Ghosh, Bijoy Kumar .
OCEAN ENGINEERING, 2021, 237
[5]   A Novel Virtual-Structure Formation Control Design for Mobile Robots with Obstacle Avoidance [J].
Chen, Xuanlin ;
Huang, Fanghao ;
Zhang, Yougong ;
Chen, Zheng ;
Liu, Shuo ;
Nie, Yong ;
Tang, Jianzhong ;
Zhu, Shiqiang .
APPLIED SCIENCES-BASEL, 2020, 10 (17)
[6]   Leader-follower formation control of underactuated autonomous underwater vehicles [J].
Cui, Rongxin ;
Ge, Shuzhi Sam ;
How, Bernard Voon Ee ;
Choo, Yoo Sang .
OCEAN ENGINEERING, 2010, 37 (17-18) :1491-1502
[7]   Adaptive Leader-Follower Formation Control of Underactuated Surface Vehicles With Guaranteed Performance [J].
Dai, Shi-Lu ;
He, Shude ;
Cai, He ;
Yang, Chenguang .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 52 (03) :1997-2008
[8]   Fault-Tolerant Fuzzy Formation Control for a Class of Nonlinear Multiagent Systems Under Directed and Switching Topology [J].
Deng, Chao ;
Che, Wei-Wei .
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 51 (09) :5456-5465
[9]   Modeling and control of formations of nonholonomic mobile robots [J].
Desai, JP ;
Ostrowski, JP ;
Kumar, V .
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 2001, 17 (06) :905-908
[10]   Formation Control Strategy for Nonholonomic Intelligent Vehicles Based on Virtual Structure and Consensus Approach [J].
Dong, Longfei ;
Chen, Yangzhou ;
Qu, Xiaojun .
GREEN INTELLIGENT TRANSPORTATION SYSTEM AND SAFETY, 2016, 138 :415-424