Formation control of multi-robot via integral sliding mode

被引:0
作者
Qian D.-W. [1 ]
Guo J.-R. [1 ]
机构
[1] School of Control and Computer Engineering, North China Electric Power University, Beijing
来源
Dianji yu Kongzhi Xuebao/Electric Machines and Control | 2016年 / 20卷 / 01期
关键词
Formation control; Integral sliding mode; Leader-follower; Mismatched uncertainties; Multi-robot;
D O I
10.15938/j.emc.2016.01.015
中图分类号
学科分类号
摘要
A group of nonholonomic two-wheeled mobile robots were studied. The method of integral sliding mode control (ISMC) was investigated for the formation problem of the group of robots with mismatched uncertainties. Taking the effects of uncertainties (parameter fluctuations, skidding and slipping) into accounts, the leader-follower formation dynamic model was established on the basis of the kinematic model of a single robot. Since the mismatched uncertainties in this dynamic model cannot be suppressed by the invariance of ISMC, the formation system was theoretically proven to be locally asymptotically stable in the sliding mode stage. Meanwhile, the reaching condition of sliding mode was guaranteed by the developed ISMC law. Finally, a simulation platform composed of three robots verifies the feasibility and effectiveness of the ISMC strategy applied to the mobile robot formation system. © 2016, Editorial Department of Electric Machines and Control. All right reserved.
引用
收藏
页码:99 / 104
页数:5
相关论文
共 19 条
[1]  
Saing P.H., Chien C.C., Can a simple control scheme work for a formation control of multiple autonomous underwater vehicles, IEEE Transactions on Control Systems Technology, 19, 5, pp. 1090-1100, (2011)
[2]  
Zhou C., Cao Z., Wang S., Et al., The design and path planning of a miniature biomimetic robotic fish, ACTA AUTOMATICA SINICA, 34, 7, pp. 772-777, (2008)
[3]  
Casbeer D.W., Kijngston D.B., Beard R.W., Et al., Cooperative forest fire surveillance using a team of small unmanned air vehicles, International Journal of Systems Science, 37, 6, pp. 351-360, (2006)
[4]  
Monteiro S., Bicho E., Attractor dynamics approach to formation control: theory and application, Autonomous Robots, 29, 3-4, pp. 331-355, (2010)
[5]  
Zhu L., Li Y., Sun M., Et al., Sliding mode control mobile robot formations based on neural networks, Electric Machines and Control, 18, 3, pp. 113-118, (2014)
[6]  
Zhou C., Cao Z.Q., Wang S., Et al., A marsupial robotic fish team: Design, motion and cooperation, Science China-Technological Sciences, 53, 11, pp. 2896-2904, (2010)
[7]  
Liang H.Z., Sun Z.W., Wang J.Y., Finite-time attitude synchronization controllers design for spacecraft formations via behavior-based approach, Proceedings of the Institution of Mechanical Engineerings Part G-Journal of Aerospace Engineering, 227, 11, pp. 1737-1753, (2013)
[8]  
Sadowska A., Broek T., Huijberts H., Et al., A virtual structure approach to formation control of unicycle mobile robots using mutual coupling, International Journal of Control, 84, 11, pp. 1886-1902, (2011)
[9]  
Consolini L., Morbid F., Prattichizzo D., Et al., Leader-follower formation control of nonholonomic mobile robots with input constraints, Automatica, 44, 5, pp. 1343-1349, (2008)
[10]  
Defoort M., Floquet T., Kokosy A., Sliding-mode formation control for cooperative autonomous mobile robots, IEEE Transactions On Industrial Electronics, 55, 11, pp. 3944-3953, (2008)