PID optimal tuning method by Particle Swarm Optimization

This paper proposes a new PID parameter tuning method by particle swarm optimization (PSO) without tuning operatorpsilas know-how. The method searches the PID parameter that realizes the expected step response of the plant. The response is defined by the overshoot ratio, the rising time, the settling time and so on. The method is implemented into the PID tuning tool on a personal computer. The plant model represented by the transfer function is obtained by system identification on the PID tuning tool. The PID parameter is computed by PSO-based PID tuning method according to the obtained model. The numerical results show the effectiveness of the proposed tuning method and the developed tool.