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Identification of fast-steering mirror based on chicken swarm optimization algorithm
Ren, Wei1,2; Deng, Chao1,2; Zhang, Chao3; Mao, Yao1,2
2017
会议名称IOP Conference Series: 3rd International Conference on Advances in Energy, Environment and Chemical Engineering
会议录名称1755-1307
卷号69
期号1
页码012086
摘要According to the transfer function identification method of fast steering mirror exists problems which estimate the initial value is complicated in the process of using, put forward using chicken swarm algorithm to simplify the identification operation, reducing the workload of identification. chicken swarm algorithm is a meta heuristic intelligent population algorithm, which shows global convergence is efficient in the identification experiment, and the convergence speed is fast. The convergence precision is also high. Especially there are many parameters are needed to identificate in the transfer function without considering the parameters estimation problem. Therefore, compared with the traditional identification methods, the proposed approach is more convenient, and greatly achieves the intelligent design of fast steering mirror control system in enginerring application, shorten time of controller designed. © Published under licence by IOP Publishing Ltd.
关键词Animals - Mirrors - Transfer functions
收录类别Ei
语种英语
EI分类号2017-2145
文献类型会议论文
条目标识符http://ir.ioe.ac.cn/handle/181551/9013
专题光电工程总体研究室(一室)
作者单位1.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China;
2.Key Laboratory of Beam Control, Chinese Academy of Science, Chengdu; 610209, China;
3.University of Academy of Sciences, Beijing; 100039, China
推荐引用方式
GB/T 7714
Ren, Wei,Deng, Chao,Zhang, Chao,et al. Identification of fast-steering mirror based on chicken swarm optimization algorithm[C],2017:012086.
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