单纯形微粒群优化算法的改进及其在优化PID参数问题中的应用

An improvement of the simplex particle swarm optimization algorithm and its application to optimization of PID parameters

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.