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基于遗传算法的模糊控制器的设计
引用本文:史英海,姜长洪,王贵成,蔡庆春,宋新乔.基于遗传算法的模糊控制器的设计[J].沈阳化工学院学报,2001,15(4):273-277.
作者姓名:史英海  姜长洪  王贵成  蔡庆春  宋新乔
作者单位:沈阳化工学院,
摘    要:研究基于遗传算法的模糊控制器的设计方法,同时对于常规模糊控制器及自修正的模糊控制器进行设计,通过对比3种模糊控制器的控制效果,对控制器性能进行评价,建立基于遗传算法的模糊控制器的程序设计流程图,在MATLAB环境中设计针对工业过程中常见的二阶纯滞后模型的仿真程序,仿真结果显示3种控制器的控制效果,性能及实现方法的对比以表格的形式作出总结。

关 键 词:模糊控制器  遗传算法  实值编码  自修正因子  设计
文章编号:1004-4639(2001)04-0273-05
修稿时间:2001年5月29日

Design of Fuzzy Controller Based on Genetic Algorithms
SHI Ying hai,JIANG Chang hong,WANG Gui cheng,CAI Qing chun,SONG Xin qiao.Design of Fuzzy Controller Based on Genetic Algorithms[J].Journal of Shenyang Institute of Chemical Technolgy,2001,15(4):273-277.
Authors:SHI Ying hai  JIANG Chang hong  WANG Gui cheng  CAI Qing chun  SONG Xin qiao
Abstract:This paper primarily makes an investgation on the method of the design of fuzzy controller based on the genetic algorithms, and also designs the general fuzzy controller and the fuzzy controller with self correct factor. Via the comparisons of control results of the three controllers, the performance of the controllers is evaluated. This paper makes up the flow chart of the design of the fuzzy controller based on the genetic algorithms,and also makes the simulation in the MATLAB environment for the two order process with delay. The result of simulation presents the control performance of the three controllers, and the table is presented to summarize the comparisons of the abilities and the implemental methods of the controllers.
Keywords:fuzzy control  genetic algorithms  real  code  self  correct factor
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