Distributed Formation Navigation of Constrained Second-Order Multiagent Systems With Collision Avoidance and Connectivity Maintenance

被引:86
作者
Fu, Junjie [1 ]
Wen, Guanghui [1 ]
Yu, Xinghuo [2 ]
Wu, Zheng-Guang [3 ]
机构
[1] Southeast Univ, Sch Math, Jiangsu Key Lab Networked Collect Intelligence, Nanjing 211189, Peoples R China
[2] RMIT Univ, Sch Engn, Melbourne, Vic 3001, Australia
[3] Zhejiang Univ, Inst Cyber Syst & Control, State Key Lab Ind Control Technol, Yuquan Campus, Hangzhou 310027, Peoples R China
基金
中国国家自然科学基金; 澳大利亚研究理事会;
关键词
Multi-agent systems; Maintenance engineering; Navigation; Collision avoidance; Convergence; Vehicle dynamics; connectivity maintenance; input saturation; multiagent formation control; velocity constraint; LEADER-FOLLOWING CONSENSUS; MODEL-PREDICTIVE CONTROL; BARRIER CERTIFICATES; INPUT SATURATION; VELOCITY; TRACKING;
D O I
10.1109/TCYB.2020.3000264
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this article, we consider the distributed formation navigation problem of second-order multiagent systems subject to both velocity and input constraints. Both collision avoidance and connectivity maintenance of the network are considered in the controller design. A control barrier function method is employed to achieve multiple control objectives simultaneously while satisfying the velocity and input constraints. First, a nominal distributed leader-following formation controller is proposed which satisfies the velocity and input constraints uniformly and handles switching communication graphs. A nonsmooth analysis is employed to prove the global convergence of the controller. Then, a topology-based connectivity maintenance strategy using a new notion of the formation-guided minimum cost spanning tree is proposed and the corresponding barrier function-based constraints are derived. The barrier function-based collision-avoidance conditions are also developed. All barrier function-based constraints are then combined to formulate a quadratic programming problem which modifies the nominal controller when necessary to achieve both collision avoidance and connectivity maintenance. Simulation results demonstrate the effectiveness of the proposed control strategy.
引用
收藏
页码:2149 / 2162
页数:14
相关论文
共 45 条
[1]   Distributed multi-robot formation control in dynamic environments [J].
Alonso-Mora, Javier ;
Montijano, Eduardo ;
Nageli, Tobias ;
Hilliges, Otmar ;
Schwager, Mac ;
Rus, Daniela .
AUTONOMOUS ROBOTS, 2019, 43 (05) :1079-1100
[2]   Control Barrier Function Based Quadratic Programs for Safety Critical Systems [J].
Ames, Aaron D. ;
Xu, Xiangru ;
Grizzle, Jessy W. ;
Tabuada, Paulo .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2017, 62 (08) :3861-3876
[3]  
Aragues R, 2014, 2014 EUROPEAN CONTROL CONFERENCE (ECC), P1881, DOI 10.1109/ECC.2014.6862288
[4]  
Borrmann Urs, 2015, IFAC - Papers Online, V48, P68, DOI 10.1016/j.ifacol.2015.11.154
[5]   An Overview of Recent Progress in the Study of Distributed Multi-Agent Coordination [J].
Cao, Yongcan ;
Yu, Wenwu ;
Ren, Wei ;
Chen, Guanrong .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2013, 9 (01) :427-438
[6]   How often should one update control and estimation: review of networked triggering techniques [J].
Chen, Zhiyong ;
Han, Qing-Long ;
Yan, Yamin ;
Wu, Zheng-Guang .
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 63 (05)
[7]  
Cortés J, 2008, IEEE CONTR SYST MAG, V28, P36, DOI 10.1109/MCS.2008.919306
[8]   Motion planning for cooperative unicycle-type mobile robots with limited sensing ranges: A distributed receding horizon approach [J].
Defoort, Michael ;
Kokosy, Annemarie ;
Floquet, Thierry ;
Perruquetti, Wilfrid ;
Palos, Jorge .
ROBOTICS AND AUTONOMOUS SYSTEMS, 2009, 57 (11) :1094-1106
[9]   Time-Varying Output Formation for Linear Multiagent Systems via Dynamic Output Feedback Control [J].
Dong, Xiwang ;
Hu, Guoqiang .
IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS, 2017, 4 (02) :236-245
[10]   Distributed Formation Control of Multiple Quadrotor Aircraft Based on Nonsmooth Consensus Algorithms [J].
Du, Haibo ;
Zhu, Wenwu ;
Wen, Guanghui ;
Duan, Zhisheng ;
Lu, Jinhu .
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 49 (01) :342-353