一种遗传算法优化模糊PID控制器的设计与仿真

摘要

This paper presents a fuzzy PID control system based on genetic algorithm optimization, using improved genetic algorithm to optimize the fuzzy quantization and proportion factors control, thereby optimizing control rules and membership functions makes it more reasonable, the last of the optimal fuzzy controller in the simulation of matlab, the simulation results show that: after the controller after the optimization, improved the dynamic performance of the control system, can enable the system to achieve satisfactory control effect, has great reference value for the further research.%文章提出了一种基于遗传算法优化的模糊PID控制系统，采用遗传算法优化模糊控制器中的量化和比例因子，从而优化控制规则和隶属函数使其更加合理，最后对优化后的模糊控制器进行了Matlab仿真研究，仿真结果表明：经过优化后的控制器明显地改善了控制系统的动态性能，能使系统达到满意的控制效果，对进一步应用研究具有较大的参考价值。