基于Zynq的光电跟踪系统在线辨识方法设计  

Design of online identification method for electro-optical tracking system based on Zynq

作　　者：史添元 张兵[1,2,3,4] 邓久强 毛耀 王继红 Shi Tianyuan;Zhang Bing;Deng Jiuqiang;Mao Yao;Wang Jihong(National Key Laboratory of Optical Field Manipulation Science and Technology,Chinese Academy of Sciences,Chengdu 610209,China;Key Laboratory of Optical Engineering,Chinese Academy of Sciences,Chengdu 610209,China;Institute of Optics and Electronics,Chinese Academy of Sciences,Chengdu 610209,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]中国科学院光场调控科学技术全国重点实验室,成都610209 [2]中国科学院光束控制重点实验室,成都610209 [3]中国科学院光电技术研究所,成都610209 [4]中国科学院大学,北京100049

出　　处：《电子测量技术》2024年第8期21-29,共9页Electronic Measurement Technology

基　　金：中国科学院特别研究助理项目(E329691C21);四川省自然科学基金青年基金项目(24NSFSC3777)资助

摘　　要：本文提出一种基于Zynq平台的光电跟踪系统在线辨识方法,解决了传统辨识方法繁琐低效的问题。通过设计A/D与D/A模块的数据采集与驱动程序,实现了实时采集与控制,并在Zynq上运行VxWorks操作系统。利用FFT技术实现了频率特性在线测量,并采用带自然选择的混合改进的量子行为粒子群优化算法进行系统辨识。实验结果表明,该方法具有高精度的频率特性测量和准确的系统辨识能力,为光电跟踪系统提供了有效的实时控制与优化手段。This article proposes an online identification method for a electro-optical tracking system based on the Zynq platform,addressing the cumbersome and inefficient nature of traditional identification.By designing data acquisition and driver programs for A/D and D/A modules,real-time collection and control are achieved,and running the VxWorks operating system on Zynq platform.The use of FFT technology enables the online measurement of frequency characteristics,and a hybrid improved quantum-behaved particle swarm optimization algorithm with natural selection parameters is employed for system identification.Experimental results demonstrate that this method possesses high-precision frequency characteristic measurement and accurate system identification capabilities,providing effective means for real-time control and optimization of electro-optical tracking systems.

关 键 词：Zynq 在线频率特性测量 系统辨识 粒子群优化 

分 类 号：TN06[电子电信—物理电子学]