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

Year 2019, , 162 - 174, 01.04.2019

Harun Yazgan , Furkan Yener , Semih Soysal Ahmet Gür

https://doi.org/10.16984/saufenbilder.376464

Cited By: 6

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
(PID) controller for tuning parameters. Firstly, Ziegler-Nichols (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 (PSO)
and Genetic Algorithm (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

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