摘要
实现了对单纯形微粒群优化算法(SPSO)的改进.在利用单纯形法进行局部寻优的过程中,结合一维搜索中的0.618法选取压缩因子和扩张因子,将这一改进的方法应用在PID调节器的参数优化问题中,并进行了仿真实验.实验结果表明:改进后的单纯形微粒群优化算法的寻优过程更为完善,而且收敛速度更快.
In the course of the partial optimization with the simplex method,the method of 0.618 is used to select the compression factor and expand factor and then an improvement of the simplex particle swarm optimization algorithm is obtained.This improved algorithm is used in PID controller to optimize parameters.Compared with the conventional PID method,a simulation shows that this method makes the optimization perfect and convergence quick.
出处
《陕西师范大学学报(自然科学版)》
CAS
CSCD
北大核心
2009年第2期22-24,共3页
Journal of Shaanxi Normal University:Natural Science Edition
基金
国家民族事务委员会自然科学基金资助项目(05XBE05)
关键词
微粒群优化算法
单纯形微粒群优化算法
PID自动调节系统
particle swarm optimization algorithm(PSO)
simplex particle swarm optimization algorithm(SPSO)
PID automatic regulation system