Publication: PSO-Based PI Controller for Speed Control Of DC Motor
Date
2022
Authors
Abd Samat A.A.
Subani M.A.
Ab Aziz N.F.
Salim N.A.
Daud K.
Tajudin A.I.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
DC motor is complex and mathematically demanding to control because of its significant nonlinearity. This paper examined a tuning method for a proportional-integral (PI) controller to control the speed of a DC motor by using the particle swarm optimization (PSO) technique. Armature voltage control by DC Chopper would control the speed of the DC motor, while a closed-loop PI controller is used to control the speed of the motor as desired. PI controller gain tuning was developed using PSO and the trial-error method. The primary goal of this work is to minimize system response and improve the speed performance of a DC motor by ensuring that the PI gain value obtained is accurate. The result shows the PI controller tuned by the PSO algorithm produces a better system performance than the trial-error method in terms of system time response in the variation of the speed and load responses. In conclusion, the PSO algorithm produces a better transient response with faster rise time, minimum percentage overshoot, and faster settling time. � 2022 IEEE.
Description
Controllers; DC motors; Electric loads; Electric machine control; Particle swarm optimization (PSO); Timing circuits; Transient analysis; Tuning; Two term control systems; Armature voltage control; D.C. motors; DC chopper circuit; DC choppers; Error methods; Particle swarm; Particle swarm optimization; Proportional integral controllers; Separately excited dc motors; Swarm optimization; Choppers (circuits)