基于遗传算法优化的模糊PID控制研究及其仿真

Research on Optimization of Fuzzy PID Control Based on Genetic Algorithm and Its Simulation

本文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中的隶属函数和控制规则,进一步完善了模糊PID控制器的性能,提高了系统的控制精度。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。

In this paper,a kind of optimization of fuzzy PID control system based on Genetic Algorithm is discussed： The using of Genetic Algorithm to optimize the membership function and control rules of fuzzy control system perfects the properties of fuzzy PID controller and improves the precision of control system.At last,the MATLAB simulation of optimized fuzzy PID control system is carried out.The result of simulation indicated that the optimized control system improves the dynamic property.It can give a good control performance and has a high reference value for further applications.