Multimobile Robot Cluster System for Robot Machining of Large-Scale Workpieces

被引:44
作者
Zhao, Xingwei [1 ]
Tao, Bo [1 ]
Ding, Han [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
Machining; Robots; Mobile robots; Robot kinematics; Topology; Task analysis; Directed acyclic graph; Cluster system; cooperation control; multimobile robot; robot machining; MOBILE; TRANSPORT; GRAPHS;
D O I
10.1109/TMECH.2021.3068259
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, a novel work pattern for large-scale workpiece machining, that is, multimobile robot cluster machining, is proposed. The key idea is to use distributed coordination control to link multiple robots as a cluster system. The coordination control law acts as a virtual constraint, and multiple robots move synchronously under a common leader. Two topological structures are introduced to describe the communication networks of the cluster system, namely, the N-chain and close-loop topologies. The convergence rate and resistance index of different topological structures are analyzed, and the applications of different topologies in varied machining scenarios are discussed. Two experiments are conducted on the multimobile robot system. The cluster system with a close-loop topology is used for the collaborative handling task, where the relative distance of two mobile robots can be limited within 6 cm. The cluster system with an N-chain topology is used for large-scale wind turbine blade machining. The cluster machining system requires little manual intervention and guarantees the synchronization performance of the machining system.
引用
收藏
页码:561 / 571
页数:11
相关论文
共 35 条
[1]   Multi-robot formation control and object transport in dynamic environments via constrained optimization [J].
Alonso-Mora, Javier ;
Baker, Stuart ;
Rus, Daniela .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2017, 36 (09) :1000-1021
[2]  
[Anonymous], 2013, GUIDE ESSENTIAL MATH
[3]   Decentralized time-varying formation control for multi-robot systems [J].
Antonelli, Gianluca ;
Arrichiello, Filippo ;
Caccavale, Fabrizio ;
Marino, Alessandro .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2014, 33 (07) :1029-1043
[4]   Interconnected Dynamic Systems AN OVERVIEW ON DISTRIBUTED CONTROL [J].
Antonelli, Gianluca .
IEEE CONTROL SYSTEMS MAGAZINE, 2013, 33 (01) :76-88
[5]   Cooperative Load Transport: A Formation-Control Perspective [J].
Bai, He ;
Wen, John T. .
IEEE TRANSACTIONS ON ROBOTICS, 2010, 26 (04) :742-750
[6]   A Cooperative Heterogeneous Mobile Wireless Mechatronic System [J].
Bezzo, Nicola ;
Griffin, Brian ;
Cruz, Patricio ;
Donahue, John ;
Fierro, Rafael ;
Wood, John .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2014, 19 (01) :20-31
[7]   Fv-SVM-Based Wall-Thickness Error Decomposition for Adaptive Machining of Large Skin Parts [J].
Bi, Qingzhen ;
Wang, Xinzhi ;
Wu, Qi ;
Zhu, Limin ;
Ding, Han .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (04) :2426-2434
[8]   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
[9]   Distributed Control for Cooperative Manipulation With Event-Triggered Communication [J].
Dohmann, Pablo Budde Gen. ;
Hirche, Sandra .
IEEE TRANSACTIONS ON ROBOTICS, 2020, 36 (04) :1038-1052
[10]  
Erhart S, 2013, IEEE INT C INT ROBOT, P307, DOI 10.1109/IROS.2013.6696369