摘要
本文提出一种基于遗传优化和模糊推理相结合的自适应模糊PID控制算法,算法由遗传算法和模糊推理两部分构成,分别用于离线优化和在线优化。仿真结果表明,这种自适应PID控制器的性能,比仅用遗传算法优化的PID控制器更好,并且抗干扰能力更强。
This paper proposes an adaptive fuzzy PID control algorithm based on genetic optimization and fuzzy inference. This algorithm includes two parts, genetic algorithm and fuzzy inference, which can be adopted in offline optimization and online optimization.. The simulation results shows this adaptive PID controller works better than that only with genetic optimization algorithm and has better anti-disturb ability.
出处
《微计算机信息》
北大核心
2006年第12S期57-59,共3页
Control & Automation
关键词
PID
遗传算法
模糊推理
PID,genetic algorithm,fuzzy inference
