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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
Source PublicationMathematical Problems in Engineering
Volume2015Pages:701510
2015
Language英语
ISSN1024-123X
DOI10.1155/2015/701510
Indexed BySCI ; Ei
WOS IDWOS:000363581600001
Subtype期刊论文
AbstractAn 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.; 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.
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Cited Times:4[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/4168
Collection光电工程总体研究室(一室)
Corresponding AuthorCai, Huaxiang
Affiliation1. 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
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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