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基于经验数据的T-S模糊控制器设计与优化
引用本文:陈若珠,闫小喜,李战明.基于经验数据的T-S模糊控制器设计与优化[J].兰州理工大学学报,2007,33(3):75-78.
作者姓名:陈若珠  闫小喜  李战明
作者单位:兰州理工大学,电气工程与信息工程学院,甘肃,兰州,730050
基金项目:甘肃省科技攻关项目(RG5035-A52-007-02)
摘    要:提出了一种基于经验数据而非语言的T-S模糊控制器设计和优化方法.此方法分为三个阶段,第一阶段依据输入变量的范围来确定输入变量的高斯型隶属度函数;第二阶段在不改变输入变量隶属度函数的前提下,对经验数据施加递推最小二乘法以确定T-S模糊控制器的后件系数;第三阶段,使用梯度下降方法同时优化控制规则的前件参数和后件参数.倒立摆的仿真试验结果验证了该方法的有效性.

关 键 词:T-S模糊控制器  经验数据  递推最小二乘法  梯度下降法  倒立摆  
文章编号:1673-5196(2007)03-0075-04
修稿时间:2006-09-11

Design and optimization of T-S fuzzy logic controller based on empirical data
CHEN Ruo-zhu,YAN Xiao-xi,LI Zhan-ming.Design and optimization of T-S fuzzy logic controller based on empirical data[J].Journal of Lanzhou University of Technology,2007,33(3):75-78.
Authors:CHEN Ruo-zhu  YAN Xiao-xi  LI Zhan-ming
Institution:College of Electrical and Information Engineering;Lanzhou Univ.of Tech.;Lanzhou 730050;China
Abstract:An approach to design and optimize T-S fuzzy logic controller was proposed based on empirical data rather than linguistic.There were three parts in it.Firstly,the Gaussian membership function of input variable was to be determined according to the range of input variable.Then,the coefficients of consequent components in T-S fuzzy logic controller were to be determined with recursive least square algorithm for the empirical data while the membership function parameters of input variable were unaltered.Finall...
Keywords:T-S fuzzy logic controller  empirical data  recursive least square algorithm  gradient descent algorithm  inverted pendulum  
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