光电精跟踪系统的改进差分进化算法研究  

Identification of opto-electronic fine tracking systems based on an improved differential evolution algorithm

作　　者：董全睿 陈涛[1] 高世杰[1] 刘永凯[1,2] 张建强 吴昊 DONG Quan-rui;CHEN Tao;GAO Shi-jie;LIU Yong-kai;ZHANG Jian-qiang;WU Hao(Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院长春光学精密机械与物理研究所,长春130033 [2]中国科学院大学,北京100049

出　　处：《中国光学》2020年第6期1314-1323,共10页Chinese Optics

基　　金：国家重点研发计划资助项目(No.2016YFB0500100);长光复旦联合基金(No.Y8O732E);民用航天预研项目(No.D04010)。

摘　　要：针对激光通信精跟踪系统,提出一种基于改进差分进化算法的辨识方法。首先,介绍了标准差分进化算法的基本原理和算法流程,基于此提出一种改进的差分进化算法,并对算法中的参数进行优化;其次,通过扫频信号激励精跟踪系统分析被控对象的动态特性,同时采集CCD相机的位置反馈信息;最后,根据实验数据采用差分进化算法对系统进行辨识,获得精跟踪系统的控制模型。实验结果表明:采用改进差分进化算法后,辨识方法的收敛速度更快,辨识结果准确,该方法在光电跟踪领域有一定工程价值。In this paper,an identification method based on an improved differential evolution algorithm is proposed for laser communication fine tracking systems.Firstly,the basic principle and calculation steps of the traditional differential evolution algorithm are introduced.Based on this,an improved algorithm is proposed,and the algorithm’s parameters are optimized.Then,the dynamic characteristics of a controlled object in the fine tracking system are simulated by a sweep signal,and the positional feed back information of the camera is collected.Finally,based on the experimental data,the differential evolution algorithm is used to identify the system,and the control model of the fine tracking system is obtained.The experimental results show that the improved differential evolution algorithm has faster convergence speed and accurate identification results.In general,this method has engineering value in the field of optoelectronic tracking.

关 键 词：激光通信 差分进化 模型辨识 精跟踪系统 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]