中国科学院光电技术研究所机构知识库
Advanced  
IOE OpenIR  > 光电工程总体研究室(一室)  > 期刊论文
题名:
Iterative Learning Control with Extended State Observer for Telescope System
作者: 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
出版日期: 2015
卷号: 2015, 页码:701510
学科分类: Iterative methods - Learning algorithms - Linear systems - State estimation - Telescopes
DOI: 10.1155/2015/701510
通讯作者: Cai, Huaxiang
文章类型: 期刊论文
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.
收录类别: SCI ; Ei
语种: 英语
WOS记录号: WOS:000363581600001
ISSN号: 1024-123X
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ioe.ac.cn/handle/181551/4168
Appears in Collections:光电工程总体研究室(一室)_期刊论文

Files in This Item:
File Name/ File Size Content Type Version Access License
2015-2102.pdf(2195KB)期刊论文作者接受稿开放获取View 联系获取全文

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

Recommended Citation:
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.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Cai, Huaxiang]'s Articles
[Huang, Yongmei]'s Articles
[Du, Junfeng]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Cai, Huaxiang]‘s Articles
[Huang, Yongmei]‘s Articles
[Du, Junfeng]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: 2015-2102.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2016  中国科学院光电技术研究所 - Feedback
Powered by CSpace