Decentralized adaptive consensus control for multi-manipulator system with uncertain dynamics

	Decentralized adaptive consensus control for multi-manipulator system with uncertain dynamics
	Long Cheng; Zeng-Guang Hou; Min Tan
	2008
会议名称	IEEE International Conference on System, Man, and Cybernetic
会议日期	OCT 12-15, 2008
会议地点	Singapore
会议举办国	Singapore
摘要	An adaptive control approach is proposed to deal with the multi-manipulator system consensus problem based on the multi-agent theory. In the current multi-agent literature, agents are assumed to have determined models. However, the real manipulator's dynamics contains uncertain parameters. According to the "linearity-in-parameters" property, the adaptive updating law for uncertain dynamics parameters is derived by the projection method. Then, a decentralized controller is designed based on the backstepping scheme, which only utilizes the information of connected manipulators. By the proposed controller, all the manipulators' joints move towards the same configuration to achieve certain coordination tasks. In addition, performance of the control system is analyzed by the Lyapunov method, and the consensus error is proved to approach zero. Finally, the effectiveness of the proposed scheme is illustrated by simulations on a multiple two-link manipulators system.
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/23156
专题	复杂系统认知与决策实验室_先进机器人
推荐引用方式 GB/T 7714	Long Cheng,Zeng-Guang Hou,Min Tan. Decentralized adaptive consensus control for multi-manipulator system with uncertain dynamics[C],2008.