An improvement of the simplex particle swarm optimization algorithm and its application to optimization of PID parameters
LI Ji-min, Gao Yue-lin, LI Hui-rong
(School of Information and Calculation Science, The North University for Nationalities, Yinchuan 750021, Ningxia, China)
Abstract:
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．
KeyWords:
particle swarm optimization algorithm(PSO); simplex particle swarm optimization algorithm(SPSO); PID automatic regulation system
