Investigation of The Success of Particle Swarm Optimization Based PID Tuning, PID and Fuzzy Type Inspection Methods in Speed Control of DC Motor
Abstract
This paper presents a comparison of the success of Fuzzy Logic Control (FLC), Particle Swarm Optimization (PSO) based PID and classic PID over speed control of DC motors. Motors known as a component that convert electrical energy to mechanical energy are quite common in our devices. DC motors are one of the most used components of industry. DC motors have two important advantages as speed variation and torque. Generally, speed variation is performed by changing armature voltage. In this paper, speed control of a DC motor and mathematical model of DC motor were presented. The performances of the control methods used in this study in DC motor speed control have been examined and supported with graphs by testing under different inputs, noise and load at certain times. The performance measures of the controllers were evaluated taking into consideration the rise time, the settling time and the overshoot.
Keywords
References
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Details
Primary Language
Turkish
Subjects
Electrical Engineering
Journal Section
Research Article
Authors
Mahmut Altun
KAHRAMANMRAŞ SÜTÇÜ İMAM ÜNİVERSİTESİ
0000-0001-5241-5054
Türkiye
Yunus Celik
KAHRAMANMRAŞ SÜTÇÜ İMAM ÜNİVERSİTESİ
0000-0002-3384-4213
Türkiye
Mahit Güneş
*
KAHRAMANMRAŞ SÜTÇÜ İMAM ÜNİVERSİTESİ
0000-0002-1552-3889
Türkiye
Publication Date
December 27, 2017
Submission Date
December 19, 2017
Acceptance Date
December 23, 2017
Published in Issue
Year 2017 Volume: 20 Number: 4
Cited By
Fırçasız DA motorunun hız kontrolünde PI katsayılarının Pareto tabanlı çok amaçlı optimizasyonu
Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi
https://doi.org/10.25092/baunfbed.468544