A New Optimization Method Based on Genetic Algorithm for Fuzzy Logic Controller Design

摘要：

This paper provides an overview on Genetic Algorithm for the automated design and optimization of fuzzy logic controllers.A new optimization method for fuzzy controller design is proposed.The membership functions of input and output variables are defined by three parameters,called geometric proportional factor,adding with the scaling factor,which are adjusted to maximize the performance index by using the Genetic Algorithm.This method can shorten coding length and improve speed of evolution.Simulation experiment on water level controller is discussed by using above method.The platform of simulation is integration of Genetic Algorithm toolbox and fuzzy controller toolbox based on MATLAB.The simulation result proves its feasibility.

关键词： Fuzzy Logic Controller Genetic Algorithm Membership Function.

作者: Da-bin Zhang Zhi-rui Liu

作者单位: Department of Information Management,Huazhong Normal University,Wuhan,Hubei

会议类型: 国际会议

会议名称: International Conference on Modelling,Identification and Control(模拟、鉴定、控制国际会议)

会议地点: 上海

会议语种:英文

在线出版日期: 2008-06-29（万方平台首次上网日期，不代表论文的发表时间）