Immune Clone Selection Algorithm for Fuzzy Logic Controller Design
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.
Immune clone selection algorithm Fuzzy logic controller Mutation Membership function convergence
WenJie Tian Lan Ai Yu Geng JiCheng Liu
Automation Institute, BEIJING Union University, BEIJING, China, 100101
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
6144-6148
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）