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机载光电跟踪系统模糊控制的优化设计与仿真
引用本文:卢广山,姜长生,张宏.机载光电跟踪系统模糊控制的优化设计与仿真[J].航空学报,2002,23(1):85-87.
作者姓名:卢广山  姜长生  张宏
作者单位:1. 北京航空航天大学,自动控制系,北京,100083
2. 南京航空航天大学,自动化学院,江苏,南京,210016
摘    要: 分析了机载光电跟踪系统的构成,并对机载光电跟踪系统的最主要组成部分——陀螺稳定平台框架系统设计了基于遗传算法的模糊控制器,通过遗传算法来优化模糊控制器的规则、参数以及量化因子和比例因子。并对系统进行了详细的仿真研究,仿真结果证明基于 GA的模糊控制器设计获得了良好的控制效果。

关 键 词:陀螺稳定平台  目标瞄准线  模糊控制  遗传算法  机载光电跟踪系统  
文章编号:1000-6893(2002)01-0085-03
修稿时间:2000年12月7日

OPTIMIZATION DESIGN AND SIMULATION OF FUZZY CONTROLLER IN AIRBORNE ELECTRO-OPTICAL POINTING AND TRACKING SYSTEMS
LU Guang shan,JIANG Chang sheng,ZHANG Hong.OPTIMIZATION DESIGN AND SIMULATION OF FUZZY CONTROLLER IN AIRBORNE ELECTRO-OPTICAL POINTING AND TRACKING SYSTEMS[J].Acta Aeronautica et Astronautica Sinica,2002,23(1):85-87.
Authors:LU Guang shan  JIANG Chang sheng  ZHANG Hong
Institution:1.Department of Automatic control, Beijing University of Aeronautics and Astronatics, Beijing 100083, China;2.Automation Institute, Nanjing University of Aeronautics and Astronautics, Nanjing 210016,
Abstract:This paper analyzes the models of airborne electro optical pointing and tracking systems, and designs the fuzzy controller based on a genetic algorithm for the gyro stabilized platform system which is the most important component of airborne electro optical pointing and tracking systems.GA is used to optimize fuzzy control rules,parameter,quantification factor and proportion factors. By the particular simulation of the system designed by the fuzzy control based on the genetic algorithm,the result proves that the system performance is very satisfactory.
Keywords:gyro  stabilized platform  light of sight  fuzzy control  genetic algorithm  airborne electro  optical pointing and tracking systems
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