基于遗传算法和模糊PID的励磁控制器

Research on Excitation Controller Based on GA and Fuzzy-PID

随着电力系统的发展,常规PID励磁控制器已经不能满足系统运行的动态和静态性能要求,为了克服这一缺点,设计了一种新型模糊PID控制器,在常规模糊PID励磁控制器基础之上,提出了一种利用遗传算法优化的模糊控制器.介绍了同步发电机自动励磁系统及模糊PID励磁控制器的构成,模糊PID控制器的原理及作用.仿真研究结果表明利用该方法设计的励磁控制器具有更好的动静态特性。

With the development of power system, routine PID controller could not satisfy the requirement of systemic dynamic and static performances. In this paper, in order to overcome this shortcoming , a new kind of fuzzy-PID controller is designed. Based on the general fuzzy-PID excitation controllers, an excitation controller for synchronous generators is brought forward, whose quotation factors and scale factors are optimized by GA （Genetic Algorithm）. The automatic excitation system is introduced, as well as the princple, architecture and functions of the fuzzy-PID controller. The simulation research is carried out, and the result shows that it has ecxellent dynamic and static characteristics.