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Journals / Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi / 2005 / Cilt: 20 - Sayı: 2

Adaptive control of induction motors using neuro-fuzzy controllers

Asenkron motorların sinirsel-bulanık denetleyici ile uyarlamalı denetimi

Beşir DANDIL
Muammer GÖKBULUT
Pages
145–153
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Simulation results showing the speed control performance of the PI-NFC for the induction motor drives are presented by comparing the performance of various neuro-fuzzy control approaches under nonlinear loads and parameter variations.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study proposes an adaptive and robust speed control for voltage based indirect vector controlled induction motors using a Proportional-Integral type Neuro-Fuzzy Controller (PI-NFC) with the inputs of speed error and error integral.
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Key Findings & Data:Speed control performance of induction motors is affected by parameter deviations and nonlinearities in the induction motor drives.
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Conclusion & Impact:Simulation results showing the speed control performance of the PI-NFC for the induction motor drives are presented by comparing the performance of various neuro-fuzzy control approaches under nonlinear loads and parameter variations.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

This study proposes an adaptive and robust speed control for voltage based indirect vector controlled induction motors using a Proportional-Integral type Neuro-Fuzzy Controller (PI-NFC) with the inputs of speed error and error integral. Speed control performance of induction motors is affected by parameter deviations and nonlinearities in the induction motor drives. The aim of the proposed control scheme is to improve the performance and robustness of the induction motor drives under nonlinear loads and parameter variations. Furthermore, the steady-state speed error is eliminated using the proposed PI-NFC. Simulation results showing the speed control performance of the PI-NFC for the induction motor drives are presented by comparing the performance of various neuro-fuzzy control approaches under nonlinear loads and parameter variations.

Özet

Bu çalışmada, gerilim referanslı-dolaylı vektör denetimli asenkron motorlar için hız hatası ve hız hatasının integralini giriş olarak kullanan bir Sinirsel Bulanık Denetleyici (PI-SBD) ile uyarlamalı ve dayanıklı bir hız denetimi önerilmiştir. Asenkron motorların hız denetim başarısı, motor sürücülerindeki doğrusal olmayan elemanlar ve parametre değişimlerinden önemli ölçüde etkilenmektedir. Öğrenmeli bir sistem olan sinirsel bulanık denetleyicilerle, parametre değişimleri ve doğrusal olmayan yükler altında, asenkron motor sürücülerinin dayanıklılığının ve hız denetim başarılarının iyileştirilmesi amaçlanmıştır. Ayrıca, önerilen PISBD ile sürekli durum hız hataları da giderilmiştir. Değişik hızlarda ve doğrusal olmayan yükler altında çalışan asenkron motor sürücüleri için, PI-SBD’ nin denetim başarısını gösteren benzetim sonuçları, çeşitli sinirsel-bulanık denetleyicilerle karşılaştırmalı olarak sunulmuştur.

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Cite This Article

DANDIL, B., GÖKBULUT, M. (2022). Adaptive control of induction motors using neuro-fuzzy controllers. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, Cilt: 20 - Sayı: 2, 145–153. https://ajindex.com/articles/524181

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