Error-Tracking Learning Control Method Based on Iterative Extended State Observer

doi:10.1088/1757-899X/382/5/052003

	Error-Tracking Learning Control Method Based on Iterative Extended State Observer
	Hao, Xiao Hong; Duan, Jie; Gu, Qun; Jiang, Bing Xia
	2018-07-13
会议日期	May 23, 2018 - May 26, 2018
会议地点	China
关键词	Errors Iterative methods Learning algorithms Manufacture State estimation Uncertain systems Error tracking Error trajectories Extended state observer Iterative learning control Learning control Reference signals Tracking accuracy Tracking errors
卷号	382
期号	5
DOI	10.1088/1757-899X/382/5/052003
英文摘要	we propose an error-tracking learning control method based on iterative extended state observer for a class of nonparametric uncertain systems, aiming at relaxation of initial positioning conditions for conventional iterative learning control method so as to allow any position of the initial value at each iteration and effectively process the effect of uncertain system items on tracking accuracy. It firstly constructs an appropriate expected error trajectory, followed by the linear iterative extended state observer proposed for uncertain system items which evaluates uncertain system items with LIESO, and then presents a learning control algorithm based on this method, which allows convergence of actual tracking error to the default error trajectory to realize that the system state accurately tracks reference signals within the work interval. Simulation results indicate the effectiveness of the method. © Published under licence by IOP Publishing Ltd.
会议录	IOP Conference Series: Materials Science and Engineering
会议录出版者	Institute of Physics Publishing
语种	英语
ISSN号	17578981
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117908]
专题	计算机与通信学院
作者单位	Department of Computer and Communication, Lanzhou University of Technology, Lanzhou, Gansu; 730050, China
推荐引用方式 GB/T 7714	Hao, Xiao Hong,Duan, Jie,Gu, Qun,et al. Error-Tracking Learning Control Method Based on Iterative Extended State Observer[C]. 见:. China. May 23, 2018 - May 26, 2018.