机载光电跟踪系统模糊控制的优化设计与仿真  

OPTIMIZATION DESIGN AND SIMULATION OF FUZZY CONTROLLER IN AIRBORNE ELECTRO-OPTICAL POINTING AND TRACKING SYSTEMS

作　　者：卢广山[1] 姜长生[2] 张宏[2] 

机构地区：[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

出　　处：《航空学报》2002年第1期85-87,共3页Acta Aeronautica et Astronautica Sinica

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.

关 键 词：陀螺稳定平台 目标瞄准张 模糊控制 遗传算法 机载光电跟踪系统 仿真 优化设计 

分 类 号：V24[航空宇航科学与技术—飞行器设计] TP273.4[自动化与计算机技术—检测技术与自动化装置]