基于粒子群算法的变论域模糊控制策略  

Variable Universe Fuzzy Control Based On Particle Swarm Optimization Algorithm

作　　者：彭灵志[1] 贺建军[1] 

机构地区：[1]中南大学信息科学与工程学院,湖南长沙410083

出　　处：《控制工程》2012年第S1期116-118,125,共4页Control Engineering of China

基　　金：国家自然科学基金资助项目(61174132)

摘　　要：针对模糊控制器控制精度不高、自适应能力有限等问题,提出一种基于粒子群算法的变论域模糊控制策略。首先,在对伸缩因子特性及基本粒子群算法的分析基础上对粒子群算法进行改造,使其适用于变论域模糊控制伸缩因子的寻优。然后,根据系统的性能指标通过粒子群算法对伸缩因子进行在线调整,以构成了基于粒子群算法的变论域模糊控制器。仿真实验通过与模糊控制器、定式变论域模糊控制器的比较表明基于粒子群算法的变论域模糊控制器响应速度快,控制精度搞;在液位控制实验中的结果表明该算法可用于一般工业过程控制系统中。Aiming at the low accuracy and the poor adaptation of the fuzzy control algorithm,a variable universe fuzzy control based on particle swarm optimization is proposed.Firstly,based on the analysis of contraction and expansion factors and particle swarm optimization (PSO),the paper improved the PSO algorithm which is designed for optimizing the contraction and expansion factors.Then,the PSO algorithm can adjust the contraction and expansion factors on line according to the performance indicator of system.Thus,the variable universe fuzzy control based on PSO controller is constituted.Finally,the simulation results show that,compared with the fuzzy control and the general variable universe fuzzy control,the variable universe fuzzy control based on particle swarm optimization has some good dynamic characteristics;high speed of response and high control accuracy,and the result of liquid-level control experiment shows that the proposed control scheme can be used in a general process control system.

关 键 词：变论域模糊控制 伸缩因子 粒子群(PSO) 液位控制 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置]