A Particle Swarm Optimization Approach for PID Parameters in Hydraulic Servo Control System

Particle swarm optimization (PSO), whose advantage is easy to implement, as an evolution algorithm, can search for optima quickly in multidimensional solution space. Based on PSO and classical PID controlling theory, a PSO-PID controller, using weighted error function as fitness function, is developed. The PSO-PID controller can search the optimal controller parameters on-line. The good performance of PSO-PID is verified by the application of hydraulic edger screwdown system in Baosteel 2050 rough mill. The results show that the PSO-PID controller achieves better performance than the classic one, especially, in the circumstance of working condition variation