Stability classification of deformable mirror in adaptive optics based on logistic regression
Li, Ziqiang1,2,3; Jia, Qiwang1,2,3; Huang, Linhai1,3; Li, Xinyang1,3
2019-06-01
会议日期June 3, 2019 - June 5, 2019
会议地点Nanchang, China
DOI10.1109/CCDC.2019.8832763
页码3938-3942
英文摘要In order to make adaptive optics systems more intelligent and unattended, a machine or an algorithm is needed to replace human operators. However, many factors can cause adaptive optics systems unstable and even damage the vulnerable surface of the deformable mirror. As the most expensive element in adaptive optics system, the safety of the deformable mirror must be ensured. The main difficulty to construct a classifier to distinguish abnormal situations is that it is hard to define the normal or abnormal situations in specific mathematical equations. Therefore, we build an adaptive optics system experimental platform with a 61-element deformable mirror to collect data in closed-loop. We then train a classifier based on logistic regression using the data we have collected. Results show that this method is effective in classifying the running states of deformable mirror, it achieves high accuracy in the training set, the test set and four validation datasets. © 2019 IEEE.
会议录Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019
会议录出版者Institute of Electrical and Electronics Engineers Inc.
会议录出版地NEW YORK
文献子类会议论文
语种英语
ISSN号1948-9439
WOS研究方向Automation & Control Systems ; Operations Research & Management Science
WOS记录号WOS:000555859004032
WOS关键词FEEDFORWARD CONTROL
内容类型会议论文
源URL[http://ir.ioe.ac.cn/handle/181551/9642]  
专题光电技术研究所_自适应光学技术研究室(八室)
作者单位1.Key Laboratory on Adaptive Optics, Chinese Academy of Sciences, Chengdu, Sichuan; 610209, China;
2.University of Chinese Academy of Sciences, Beijing; 100049, China
3.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, Sichuan; 610209, China;
推荐引用方式
GB/T 7714
Li, Ziqiang,Jia, Qiwang,Huang, Linhai,et al. Stability classification of deformable mirror in adaptive optics based on logistic regression[C]. 见:. Nanchang, China. June 3, 2019 - June 5, 2019.
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