Auto-disturbance-rejection Controller Design Based on Particle Swarm Optimization Algorithm

Abstract

A novel design method for the auto-disturbance-rejection controllers(ADRC)was proposed to deal with the difficulty in the parameter regulation of the ADRC.The particle swarm optimization(PSO)algorithms were employed in this method and the optimal ADRC parameters could be founded automatically to make the selected fitness function minimized. This proposed approach has superior features,including good computational efficiency and easy implementation.Simulation results of a certain gun servo system indicate that the optimal design method is feasible.