基于遗传算法参数整定的方位保持仪温控系统

Temperature Control System for Azimuth Holding Instrument Based on Genetic Algorithm

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。

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.