基于遗传算法的水轮机智能PID调速器研究

A study of intelligent PID hydraulic turbine governorbased on genetic algorithms

本文针对水轮机常规PID调速器中不能根据系统的动态过程自动调整控制参数的缺点 ,提出一种新的基于遗传算法的模糊自适应PID控制算法 ,该方法采用遗传算法优化模糊推理的模糊规则 ,并通过模糊推理求解PID参数的变化量。经过仿真表明 ,该控制算法具有良好的静态和动态性能 。

In order to overcome the shortcoming of the conventional hydraulic turbine PID governor,a new self tuning PID control method based on the improved genetic and fuzzy reasoning is proposed.The improved genetic algorithms used to optimize the fuzzy reasoning rules,and the fuzzy reasoning system used to calculate the varing value of PID parameters,are introdaced in to this new method.The simulation resluts shows that the new control method has given excellent static and dynamic performance.In addition,it has a strong robust performance.