Comparison Performances of PSO and GA to Tuning PID Controller for the DC Motor

Authors : Harun YAZGAN, Furkan YENER, Semih SOYSAL, Ahmet GÜR

Pages : 162-174

Doi:10.16984/saufenbilder.376464

View : 21 | Download : 8

Publication Date : 2019-04-01

Article Type : Research Paper

Abstract :A DC motor widely uses for sensitive speed and position in industry. Stability and productivity of a system are important for controlling of a DC motor speed. Stable of speed which affected from load fluctuation and environmental factors. Therefore, it is important for the speed value which is required as constant and to keep it as its value. In this study, it is aimed that the speed value which is achieved as required value and keeping it as constant using Proportional, Integral and Derivative insert ignore into journalissuearticles values(PID); controller for tuning parameters. Firstly, Ziegler-Nichols insert ignore into journalissuearticles values(ZN); is one of a traditional method used. PID parameters are determined with responses of open-loop under running system. Later, parameters of the PID are estimated using two metaheuristic algorithms such as Particle Swarm Optimization insert ignore into journalissuearticles values(PSO); and Genetic Algorithm insert ignore into journalissuearticles values(GA);. As a result, three algorithms’ results are compared based on five criteria.  The PSO algorithm produces better results than Genetic Algorithm for each criteria.
Keywords : DC motor, PID, PSO, GA