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Identification of opto-electronic fine tracking systems based on an improved differential evolution algorithm
Q.-R. Dong,T. Chen,S.-J. Gao,Y.-K. Liu,J.-Q. Zhang and H. Wu
2020
发表期刊Chinese Optics
ISSN20951531
卷号13期号:6页码:1314-1323
摘要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. Copyright 2020 Chinese Optics. All rights reserved.
DOI10.37188/CO.2020-0021
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文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/64586
专题中国科学院长春光学精密机械与物理研究所
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Q.-R. Dong,T. Chen,S.-J. Gao,Y.-K. Liu,J.-Q. Zhang and H. Wu. Identification of opto-electronic fine tracking systems based on an improved differential evolution algorithm[J]. Chinese Optics,2020,13(6):1314-1323.
APA Q.-R. Dong,T. Chen,S.-J. Gao,Y.-K. Liu,J.-Q. Zhang and H. Wu.(2020).Identification of opto-electronic fine tracking systems based on an improved differential evolution algorithm.Chinese Optics,13(6),1314-1323.
MLA Q.-R. Dong,T. Chen,S.-J. Gao,Y.-K. Liu,J.-Q. Zhang and H. Wu."Identification of opto-electronic fine tracking systems based on an improved differential evolution algorithm".Chinese Optics 13.6(2020):1314-1323.
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