Identification of fast-steering mirror based on chicken swarm optimization algorithm
文献类型:会议论文
作者 | Ren, Wei1,2; Deng, Chao1,2; Zhang, Chao3; Mao, Yao1,2 |
出版日期 | 2017 |
关键词 | Animals - Mirrors - Transfer functions |
卷号 | 69 |
期号 | 1 |
页码 | 012086 |
英文摘要 | 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. |
会议录 | 1755-1307
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语种 | 英语 |
源URL | [http://ir.ioe.ac.cn/handle/181551/9013] ![]() |
专题 | 光电技术研究所_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]. 见:. |
入库方式: OAI收割
来源:光电技术研究所
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