Modified PSO based PID Controller for Stable Processes

摘要

In this paper, a Modified Particle Swarm Optimization (MPSO) algorithm for optimizing the Proportional-Integral-Derivative (PID) controller parameters for stable process is presented. The proposed algorithm is to modify the velocity and position formula of the conventional PSO technique in order to improve computational efficiency and time complexity. The MPSO is a stochastic evolutionary technique that is used to determine the optimal PID gains by employing the two principle equations, the modified velocity updating and position updating equations to move the positions of all particles in the population. To validate the control performance of the proposed method an automatic voltage regulator (AVR) system is illustrated. Other stable process example is also considered. Simulation results verify that the performance of MPSO-PID controllers is better than that of traditional PID and PSO-PID controllers.