Identification of fast-steering mirror based on chicken swarm optimization algorithm

3rd International Conference on Advances in Energy, Environment and Chemical Engineering

能源学;生态环境科学;化学工业

Ren, Wei^1,2 ; Deng, Chao^1,2 ; Zhang, Chao^3 ; Mao, Yao^1,2

Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu

610209, China^1

Key Laboratory of Beam Control, Chinese Academy of Science, Chengdu

610209, China^2

University of Academy of Sciences, Beijing

100039, China^3

关键词: Convergence speed;    Fast steering mirror;    Global conver-gence;    Identification method;    Intelligent designs;    Parameters estimation;    Swarm optimization algorithms;    Transfer function identification;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/69/1/012086/pdf
DOI  :  10.1088/1755-1315/69/1/012086

学科分类：环境科学（综合）

来源: IOP

【 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.