同步发电机励磁系统智能PID控制仿真研究

Simulation on Intelligent PID Control for Excitation System of Synchronous Generator

针对同步发电机励磁调节系统在参数寻优和控制性能方面存在的问题,利用遗传算法快速的搜索能力,找到提升控制性能的参数,在此基础上,将模糊控制与PID控制结合,利用模糊推理方法在线调整PID控制参数,在MATLAB环境下进行了系统仿真,结果表明,控制性能较普通PID控制更为优越。

For solving the problems in parameters optimization and control performance of the excitation system of synchronous generator, the rapid searching ability of Genetic Algorithm is used to find out the parameters which can improve control performance. After combining fuzzy control and PID control together, the PID parameters can be adjusted online by fuzzy reasoning. The MATLAB-based simulation shows that the control performance of this model is better than that of＂ conventional PID control.