基于遗传算法的发电机模糊式综合励磁控制器的研究

本文在分析了模糊控制器工作原理及其传统设计方法的基础上，提出了一种模糊控制器的自寻优设计方案，成功地解决了在模糊控制器的传统设计方法中存在的过分依赖于设计者预先选用的启发式知识及操作者的经验等问题，并采用遗传算法（ＧＡ）实现了这一方案。用新方法设计的发电机模糊式综合励磁控制器兼顾了对发电机端电压和功角稳定的要求。仿真结果表明，新方法设计的控制器具有良好的控制效果，而且设计过程更加合理。因为这种设计

Synchronous Generator Fuzzy Excitation Controller Optimally Designed with Genetic Algorithm

Fuzzy logical control has been used in power system for many years.However,to design a fuzzy power system controller with satisfactory performance is never an easy task.The difficulties come from the following two aspects.First,design of a fuzzy logical controller mainly uses the experience of experts.Second,it is difficult to tune the parameters used in the fuzzy logical controller.In the conventional design method,these parameters are determined with a trial and error method which is rather difficult and time consuming.In this paper,genetic algorithm is introduced to design optimal fuzzy logical controllers.The proposed method has been used to design an optimal fuzzy logical excitation controller for generator units successfully.Performance of the designed fuzzy logical excitation controller was tested by digital simulation.Satisfactory results are obtained.