Parameters Integrated Optimization of Fuzzy Controller Based on Improved Genetic Algorithm

摘要：

In order to improve the control performance of fuzzy control system the genetic algorithm(GA) is used to optimize the parameters of fuzzy controller. In this optimization approach, GA is combined with nonlinear simplex method. Using nonlinear simplex method to initialize the GA, and from the result nonlinear simplex method can search better individual. It can also avoid local extremum produced by using single nonlinear simplex method solely. Simulation proves it is a more effective method than traditional GA.

关键词： Genetic algorithm (GA) Nonlinear simplex method Fuzzy control Parameter optimization

作者: DONG Haiying XING Dongfeng

作者单位: School of Automation and Electrical Engineering, Lanzhou Jiaotong University , Lanzhou, 730070 P.R. Key Laboratory of Opto-Electronic Technology and Intelligent Control Lanzhou Jiaotong University,Min

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）