基于遗传算法的同步发电机自调整模糊PID励磁控制器研究

Research on Self-regulating Fuzzy-PID Excitation Controller for Synchronous Generator Based on GA

本文设计了一种基于遗传算法(GA)和模糊逻辑推理的同步发电机PID励磁控制器。利用遗传算法搜索出一组最优的PID初始参数。在此基础上,根据系统当前的电压偏差及电压偏差变化率通过模糊推理和相关计算得到PID参数的调整比例系数,实现PID参数的在线调整。仿真研究结果表明利用该方法设计的励磁控制器具有良好的动静态特性。

This paper proposes a kind of synchronous generator fuzzy-PID excitation controller based on genetic algorithm（GA） and fuzzy illation. Initial factors are optimized by GA firstly. On this basis, the scale factors of PID control parameters are gained by fuzzy illation and pertinent computation based on the voltage variation and its rate of change. On line self-regulating of the PID control parameters is realized. The simulation research is carded out, and the result shows that it has excellent dynamic and static characteristics.