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Journals / Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi / 1998 / Cilt: 11 Sayı: 1

Self Tuning Adaptive Neurocontroller For Brushless Dc Motors

Fırçasız Doğru Akım Motorlarının Yapay Sinir Ağları İle Öz-Uyarlamalı Denetimi

Ayhan ALBOSTAN
Muammer GÖKBULUT
Pages
42–62
Publication Date
1998-06-30
DOI
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AI Summary & Key Takeaways

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

Nonlinear and unknown motor dynamics are identified by using multilayer neural network and the control input for the motor is derived from the identified model.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This paper describes a self-tuning adaptîve neurocontroller for Brushless DC Motors.
📊
Key Findings & Data:This paper describes a self-tuning adaptîve neurocontroller for Brushless DC Motors.
💡
Conclusion & Impact:Nonlinear and unknown motor dynamics are identified by using multilayer neural network and the control input for the motor is derived from the identified model.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Fırçasız DC Motorlar · Yapay Sinir Ağları · Öz-Uyarlamalı Kontrol

Abstract

This paper describes a self-tuning adaptîve neurocontroller for Brushless DC Motors. Nonlinear and unknown motor dynamics are identified by using multilayer neural network and the control input for the motor is derived from the identified model.

Özet

Bu çalışmada. Yapay Sinir Ağları (YSA) ile Fırçasız Doğru Akım Motorlarının (FDAM) öz-uyarlamalı denetimi gerçekleştirilmiştir. Bilinmeyen ve doğrusal olmayan motor dinamikleri YSA ile modellenmiş ve modelden yararlanarak motorun denetim girişi üretilmiştir.

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Cite This Article

ALBOSTAN, A., GÖKBULUT, M. (1998). Self Tuning Adaptive Neurocontroller For Brushless Dc Motors. Eskişehir Osmangazi Üniversitesi Mühendislik ve Mimarlık Fakültesi Dergisi, Cilt: 11 Sayı: 1, 42–62. https://ajindex.com/articles/905264

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