基于遗传算法的水轮机模糊自适应PID调速器研究

Self-tuning PID Hydraulic Turbine Governor Based 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 ,并且具有很强的鲁棒性。

In order to overcome the flaw of general hydraulic turbine PID governor,a new selftuning PID control method based on the improving genetic and fuzzy reasoning is proposed.The improving genetic algorithm used to optimize the fuzzy reasoning rules and the fuzzy reasoning system used to calculate the increasing value of PID parameters are presented in this new way.The simulation result shows that the new control method has excellent static and dynamic performance,in addition,it has a strong robust performance.