Process Control Parameters Optimal Selection Based on Particle Swarm Algorithm

PID control algorithm has been extensively used in process controls. But the PID control parameters tuning is a complicated process in the controller. This paper proposes a solution to do optimal selection of process control parameters by particle swarm algorithm. The particle swarm algorithm can be applied to obtain the best control parameters of the fitness function with least-error and least-overshoot optimization criterion. A better control effect is achieved in the process simulation of the second order system´s response using these control parameters, which indicates that particle swarm algorithm for process control parameters´ optimal selection has a high value in practice.