Intelligent controller design for PM DC motor position control using evolutionary programming

Abstract

This paper is concerned with the optimum proportional-integral-derivative (PID) controller design for a PM dc motor position control. Since the evolutionary programming (EP) algorithm has been considered as a useful technique for finding global optimization solutions for certain complicated functions in recent years. In this paper, we attempt to combine the EP algorithm with the PID control design to solve the positioning control problem of a PM dc motor, such that a performance index of integrated-absolute error (IAE) is minimized. Last, a SYL-5 PM dc motor position control system is used to verify the superiority of the proposed method. It can be easily seen from the simulation results that the proposed method will have better performance than those presented in other studies.