文献类型：会议论文

中文题名：Immune Clone Selection Algorithm for Fuzzy Logic Controller Design

作者：WenJie Tian[1];Lan Ai[1];Yu Geng[1];JiCheng Liu[1];

机构：[1]Automation Institute, BEIJING Union University, BEIJING, China, 100101;

第一机构：北京联合大学城市轨道交通与物流学院

会议论文集：2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)论文集

会议日期：20090617

会议地点：广西桂林

主办单位：控制与决策编辑部

语种：英文

中文关键词：Immune clone selection algorithm;Fuzzy logic controller;Mutation;Membership function;convergence

摘要：This paper provides an overview on immune clone selection algorithm for the automated design and optimization of fuzzy logic controller. A new optimization method for fuzzy logic controller design is proposed. The membership functions of input and output variables are defined by six parameters, which are adjusted to maximize the performance index of the controller by using immune clone selection algorithm. This method can shorten coding length, incarnate the characteristic of mutation and improve the capability of search and convergence of algorithm. Simulation experiment on water level controller is discussed by using above method. The simulation results show that the fuzzy logic controller based on immune clone selection algorithm avoids premature effectively and prove its feasibility.