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基于改进遗传算法的PID型励磁系统控制器(英文)
引用本文:王明东,刘宪林,于继来.基于改进遗传算法的PID型励磁系统控制器(英文)[J].河南科学,2008,26(7).
作者姓名:王明东  刘宪林  于继来
作者单位:1. 哈尔滨工业大学,电气工程系,哈尔滨,150001
2. 郑州大学,电气工程学院,郑州,450001
基金项目:Support by the national natural science foundation of China(50477008); doctoral program foundation of institutions of highere ducation of China(20040213031); natural science foundation of Henan educational committee(2008A470012)
摘    要:提出了一种新型PID型励磁控制器,采用一种改进的遗传算法优化其参数,不仅克服了参数设计的主观性,且可以提高优化速度.计算结果表明,这种改进遗传算法的搜索速度与精度均优于试探法和标准遗传算法.与传统控制器的仿真比较表明,采用改进遗传算法优化的PID型励磁控制器对于电力系统动态特性具有较好的控制作用.

关 键 词:PID控制器  遗传算法  励磁系统

A Modified Genetic Algorithm-Based PIDController of Excitation System
Wang Mingdong,Liu Xianlin,Yu Jilai.A Modified Genetic Algorithm-Based PIDController of Excitation System[J].Henan Science,2008,26(7).
Authors:Wang Mingdong  Liu Xianlin  Yu Jilai
Institution:Wang Mingdong1,Liu Xianlin2,Yu Jilai1(1.Department of Electrical Engineering,Harbin Institute of Technology,Harbin 150001,China,2.School of Electrical Engineering,Zhengzhou University,Zhengzhou 450001,China)
Abstract:A novel PID controller is designed for the excitation system of synchronous generator and its parameters are optimized using a modified Genetic Algorithm(GA)to overcome the subjectivity and raise the search speed.The computing results show that the modified GA is more quickly and precisely than Error-and-Trial method and conventional GA,and the simulation results indicate that the modified-GA-based PID controller can improve dynamic characteristic of power system compared with conventional excitation contro...
Keywords:PID controller  GA  excitation system  
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