微种群遗传算法在火炮稳定控制中应用

Application Micro Population Genetic Algorithms to control the Regulator of Artillery

本文介绍了一种新兴的高效全局寻优方法—微种群遗传算法,通过对该算法进行改进,同时结合坦克火炮稳定器的系统结构模型,对PID控制器的参数进行了优化,并进行了仿真实例研究,结果表明该方法能实现对PID参数的全局优化,收到较好的控制效果。

This paper presents the micro-genetic algorithm, as a highly effective optimization method .Through improving the method of micro population genetic algorithms and optimizes the PID parameters based on the method. The author simulates case study, and the result shows the improved micro population generic algorithms can optimize the PID parameters in all areas, and the simulation system of the tank gun regulator can work effectively.