An Improved Particle Swarm Optimization (PSO) Optimized Integral Separation PID and its Application on Central Position Control System

Abstract

In order to avoid the low yield of the strip due to the transverse deviation, it is very important to equip the central position control (CPC) in the rolling line. As the common proportional integral derivative (PID) controller has the disadvantages of overshoot and excessive adjusting time, an integral separation PID (IPID) control algorithm optimized by modified particle swarm optimization (PSO) based on dynamic weight and crossover operator (MPSO-IPID) is proposed in this paper. Compared with ZN method PID, genetic algorithm PID, standard PSO PID, and the MPSO-IPID can accelerate the convergence speed of the algorithm and improve the accuracy of the convergence result. The strip position overshoot (3%) and adjustment time controlled by the MPSO-IPID method are smallest in all methods. It is concluded that the MPSO-IPID algorithm can perform well in CPC system.