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基于遗传算法参数整定的方位保持仪温控系统
引用本文:郭丽娟,谢玲,孙谦.基于遗传算法参数整定的方位保持仪温控系统[J].中国惯性技术学报,2002,10(2):54-57.
作者姓名:郭丽娟  谢玲  孙谦
作者单位:北京理工大学自动控制系,北京,100081
摘    要:遗传算法是一种高效的模拟生物进化过程的全局随机化搜索优化方法,它可直接得到所求解问题的全局最优解。针对方位保持仪,提出了一种分段参数设置与级间控制相结合的三级温控方案,并基于遗传算法对PID控制参数进行了优化整定。同时介绍了整个温控系统的软件实现。大量试验证明该控制策略接近最优,达到了战技指标要求。

关 键 词:遗传算法  PID  参数整定  方位保持仪  温控系统  车辆惯导系统
文章编号:1005-6734(2002)02-0054-04
修稿时间:2002年2月4日

Temperature Control System for Azimuth Holding Instrument Based on Genetic Algorithm
GUO Li-juan,XIE Ling,SUN Qian.Temperature Control System for Azimuth Holding Instrument Based on Genetic Algorithm[J].Journal of Chinese Inertial Technology,2002,10(2):54-57.
Authors:GUO Li-juan  XIE Ling  SUN Qian
Abstract:Genetic algorithm is a high efficient and globally random search optimization method which simulates some processes of biological evolution. It can directly obtain the globally optimal solution of a candidate problem. In this paper, a three-level temperature control scheme which combines the grade-control with PID control in terms of temperature range of the azimuth holding instrument is proposed, and the PID parameters is optimized based on the genetic algorithm. At last, the software design of the temperature control system is described. It is proved by plentiful trials that this method is efficient.
Keywords:genetic algorithm  PID  temperature control  optimization
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