A Comparative Real-Time Speed Control of PMSM with Fuzzy Logic and ANN Based Vector Controller
Yazarlar (3)
Ezgi Güney
Serap Karagöl
Öğr. Gör. Memnun DEMİR Sinop Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale)
Dergi Adı Şırnak Üniversitesi Fen Bilimleri Dergisi
Makale Dili Basım Tarihi 01-2019
Cilt / Sayı / Sayfa 1 / 1 / 123–143 DOI
Makale Linki https://dergipark.org.tr/en/pub/sufbd/article/546814
UAK Araştırma Alanları
Gömülü Sistemler
Özet
This paper presents, analyzed real-time speed control of Permanent Magnet Synchronous Motor (PMSM) under constant load by using Fuzzy Logic (FL) controller and recurrent Artificial Neural Network (ANN) controller. A closed loop PMSM drive system is improved using the mathematical model of the PMSM in Matlab / Simulink. Two types of controllers are used; the first controller is the real-time FL controller and the second controller is a real-time recurrent ANN controller in terms of smoother speed response. Whole drive systems is simulated in Matlab/Simulink program. The simulation results show that the focused ANN controller produce considerable control performance compare to the FL controller on controlling speed reference variations
Anahtar Kelimeler
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Google Scholar 4

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