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Department自适应光学技术研究室(八室)
Tip-tilt disturbance model identification based on non-linear least squares fitting for Linear Quadratic Gaussian control
Yang, Kangjian1,2,3; Yang, Ping1,2; Wang, Shuai1,2; Dong, Lizhi1,2; Xu, Bing1,2
Source PublicationOPTICS COMMUNICATIONS
Volume415Pages:31-38
2018-05-15
Language英语
ISSN0030-4018
DOI10.1016/j.optcom.2018.01.022
Indexed BySCI ; Ei
WOS IDWOS:000425855400006
EI Accession Number20180704781593
SubtypeJ
AbstractWe propose a method to identify tip-tilt disturbance model for Linear Quadratic Gaussian control. This identification method based on Levenberg-Marquardt method conducts with a little prior information and no auxiliary system and it is convenient to identify the tip-tilt disturbance model on-line for real-time control. This identification method makes it easy that Linear Quadratic Gaussian control runs efficiently in different adaptive optics systems for vibration mitigation. The validity of the Linear Quadratic Gaussian control associated with this tip-tilt disturbance model identification method is verified by experimental data, which is conducted in replay mode by simulation. (C) 2018 Elsevier B.V. All rights reserved.
KeywordAdaptive optics Linear Quadratic Gaussian control Vibration control Model identification
WOS KeywordOPTIMAL-CONTROL LAW ; ADAPTIVE OPTICS ; VIBRATION MITIGATION ; LQG CONTROL ; COMPENSATION ; VALIDATION ; MIRROR ; SYSTEM ; POWER
EI KeywordsAdaptive optics ; Gaussian distribution ; Real time control ; Robustness (control systems) ; Vibration control
EI Classification Number731 Automatic Control Principles and Applications ; 741.1 Light/Optics ; 922.1 Probability Theory
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Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/9334
Collection自适应光学技术研究室(八室)
Affiliation1.Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu; 610209, China;
2.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China;
3.University of Chinese Academy of Sciences, Beijing; 100049, China
Recommended Citation
GB/T 7714
Yang, Kangjian,Yang, Ping,Wang, Shuai,et al. Tip-tilt disturbance model identification based on non-linear least squares fitting for Linear Quadratic Gaussian control[J]. OPTICS COMMUNICATIONS,2018,415:31-38.
APA Yang, Kangjian,Yang, Ping,Wang, Shuai,Dong, Lizhi,&Xu, Bing.(2018).Tip-tilt disturbance model identification based on non-linear least squares fitting for Linear Quadratic Gaussian control.OPTICS COMMUNICATIONS,415,31-38.
MLA Yang, Kangjian,et al."Tip-tilt disturbance model identification based on non-linear least squares fitting for Linear Quadratic Gaussian control".OPTICS COMMUNICATIONS 415(2018):31-38.
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