首页 | 本学科首页   官方微博 | 高级检索  
     

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
引用本文:杨永灯,杨晓萍,邱锦东. 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[J]. 大电机技术, 2007, 0(1): 52-56
作者姓名:杨永灯  杨晓萍  邱锦东
作者单位:核电秦山联营有限公司,浙江 海盐 314300;西安理工大学电力工程系,陕西,西安,710048;云南德宏电力股份有限公司,云南,潞西 678400
摘    要: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.

关 键 词:遗传算法  PID控制  模糊推理  在线调整  励磁控制
文章编号:1000-3983(2007)01-0052-05
修稿时间:2005-10-17

Research on Self-regulating Fuzzy-PID Excitation Controller for Synchronous Generator Based on GA
YANG Yong-deng,YANG Xiao-ping,QIU Jin-dong. Research on Self-regulating Fuzzy-PID Excitation Controller for Synchronous Generator Based on GA[J]. Large Electric Machine and Hydraulic Turbine, 2007, 0(1): 52-56
Authors:YANG Yong-deng  YANG Xiao-ping  QIU Jin-dong
Abstract: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 carried out,and the result shows that it has excellent dynamic and static characteristics.
Keywords:genetic algorithm  PID control  fuzzy illation  online regulation  excitation control
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号