摘要
在常规模糊比例、积分、微分PID(Proportional,IntegralandDifferential)励磁控制器基础之上,提出了一种利用遗传算法优化模糊控制器的量化因子和比例因子的同步发电机励磁控制器。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,给出了用遗传算法优化模糊控制器的实现方法。进行了仿真研究,结果表明利用该方法设计的励磁控制器具有更好的动态特性和静态特性。
Based on the general fuzzy-PID(Proportional,Integral and Differential) 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 introdu-ced,as well as the principle,architecture and functions of the fuzzy-PID controller. The imple-mentation of optimization using GA is presented. Simulations are carried out and the results show that the excitation controller designed has better dynamic and static performances.
出处
《电力自动化设备》
EI
CSCD
北大核心
2005年第6期66-69,共4页
Electric Power Automation Equipment
关键词
遗传算法
模糊控制
PID控制
励磁控制
genetic algorithm
fuzzy control
PID control
excitation control
