Study of the fuzzy PID control based on genetic algorithm

Lou Guo-huan, Wu Hongbin
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引用次数: 3

Abstract

This paper presents an improved fuzzy PID controller in order to improve the control performance for complex systems, in which the normal PID controller is not suitable in such case. By using genetic algorithm to optimize the fuzzy control rules, the proportional, integral and differential gains of the PID controller are tuned online. Experimental results show that this method is effective.
基于遗传算法的模糊PID控制研究
本文提出了一种改进的模糊PID控制器,以提高复杂系统的控制性能,而普通PID控制器不适合这种情况。采用遗传算法对模糊控制规则进行优化,在线整定PID控制器的比例增益、积分增益和微分增益。实验结果表明,该方法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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