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	Iterative Learning Control with Extended State Observer for Telescope System
	Cai, Huaxiang1,2,3; Huang, Yongmei1,2; Du, Junfeng1,2; Tang, Tao1,2; Zuo, Dan1,2,3; Li, Jinying1,2
刊名	Mathematical Problems in Engineering
	2015
卷号	2015页码:701510
ISSN号	1024-123X
通讯作者	Cai, Huaxiang
中文摘要	An Iterative Learning Control (ILC) method with Extended State Observer (ESO) is proposed to enhance the tracking precision of telescope. Telescope systems usually suffer some uncertain nonlinear disturbances, such as nonlinear friction and unknown disturbances. Thereby, to ensure the tracking precision, the ESO which can estimate system states (including parts of uncertain nonlinear disturbances) is introduced. The nonlinear system is converted to an approximate linear system by making use of the ESO. Besides, to make further improvement on the tracking precision, we make use of the ILC method which can find an ideal control signal by the process of iterative learning. Furthermore, this control method theoretically guarantees a prescribed tracking performance and final tracking accuracy. Finally, a few comparative experimental results show that the proposed control method has excellent performance for reducing the tracking error of telescope system. © 2015 Huaxiang Cai et al.
英文摘要	An Iterative Learning Control (ILC) method with Extended State Observer (ESO) is proposed to enhance the tracking precision of telescope. Telescope systems usually suffer some uncertain nonlinear disturbances, such as nonlinear friction and unknown disturbances. Thereby, to ensure the tracking precision, the ESO which can estimate system states (including parts of uncertain nonlinear disturbances) is introduced. The nonlinear system is converted to an approximate linear system by making use of the ESO. Besides, to make further improvement on the tracking precision, we make use of the ILC method which can find an ideal control signal by the process of iterative learning. Furthermore, this control method theoretically guarantees a prescribed tracking performance and final tracking accuracy. Finally, a few comparative experimental results show that the proposed control method has excellent performance for reducing the tracking error of telescope system. © 2015 Huaxiang Cai et al.
学科主题	Iterative methods - Learning algorithms - Linear systems - State estimation - Telescopes
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000363581600001
内容类型	期刊论文
源URL	[http://ir.ioe.ac.cn/handle/181551/4168]
专题	光电技术研究所_光电工程总体研究室（一室）
作者单位	1.Chinese Academy of Sciences, Institute of Optics and Electronics, P.O. Box 350, Shuangliu, Chengdu, China 2.Key Laboratory of Optical Engineering, Chinese Academy of Sciences, Chengdu, China 3.University of Chinese, Academy of Sciences, Beijing, China
推荐引用方式 GB/T 7714	Cai, Huaxiang,Huang, Yongmei,Du, Junfeng,et al. Iterative Learning Control with Extended State Observer for Telescope System[J]. Mathematical Problems in Engineering,2015,2015:701510.
APA	Cai, Huaxiang,Huang, Yongmei,Du, Junfeng,Tang, Tao,Zuo, Dan,&Li, Jinying.(2015).Iterative Learning Control with Extended State Observer for Telescope System.Mathematical Problems in Engineering,2015,701510.
MLA	Cai, Huaxiang,et al."Iterative Learning Control with Extended State Observer for Telescope System".Mathematical Problems in Engineering 2015(2015):701510.

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