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Journals / ACADEMIC PLATFORM-JOURNAL OF ENGINEERING AND SCIENCE / 2020 / Cilt: 8 - Sayı: 2

Fuzzy-Based Intelligent Controller Design for Robust Speed Control of PMDC Motor in Unstable Conditions

Kararsız Koşullarda SMDA Motorun Dayanıklı Hız Kontrolü için Bulanık-Tabanlı Akıllı Denetleyici Tasarımı

MURAT TUNA
Pages
237–248
DOI
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AI Summary & Key Takeaways

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

According to the comparison and simulation results obtained, the STFPI control method showed better results than others in meeting the desired control criteria.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study, the Fuzzy Logic based smart and durable speed controller design of PMDC motor at non-linear reference speeds under constant and variable loads are realized.
📊
Key Findings & Data:The performances of the controllers on durable speed control under unstable operating conditions have compared and the results obtained have discussed.
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Conclusion & Impact:According to the comparison and simulation results obtained, the STFPI control method showed better results than others in meeting the desired control criteria.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this study, the Fuzzy Logic based smart and durable speed controller design of PMDC motor at non-linear reference speeds under constant and variable loads are realized. Intelligent control methods aim to develop systems capable of imitating human's intuitive and conscious behavior. The designed control methods are: Fuzzy Logic controller (FLC), proportional-integral (PI) type FLC (FLCPI) and Self-Tuning Fuzzy PI (STFPI) controllers. The purpose of the control algorithm is to force the speed of the motor to always follow the desired reference speed. The designed controller must meet this request for different speed / time changes, regardless of load failure and parameter changes. The performances of the controllers on durable speed control under unstable operating conditions have compared and the results obtained have discussed. According to the comparison and simulation results obtained, the STFPI control method showed better results than others in meeting the desired control criteria.

Özet

Bu çalışmada, sabit ve değişken yükler altında doğrusal olmayan referans hızlarda çalışan SMDA motorun bulanık mantık tabanlı akıllı ve dayanıklı hız kontrolör tasarımı gerçekleştirilmiştir. Akıllı kontrol, insanın bulucu ve uyarlayıcı davranışlarını taklit edebilecek niteliğe sahip sistemler geliştirmeyi hedeflemektedir. Tasarlanan akıllı kontrol teknikleri; Bulanık Mantık denetleyici (BMD), oransal-integral (PI) tipli BMD ve Kendini Ayarlayan (Öz uyarlamalı) Bulanık PI (KABPI) denetleyicidir. Kontrol algoritmasının amacı, rotor hızının istenen referans hızını her zaman güçlükle takip etmeye zorlamaktır. Bu amaca, yükte bozulma ve parametre değişikliklerinden bağımsız olarak farklı hız/zaman değişimleri içinde ulaşılmalıdır. Tasarlanan denetleyicilerin kararsız çalışma koşulları altında dayanıklı hız denetimi üzerindeki performansları karşılaştırılmış ve alınan sonuçlar tartışılmıştır. Elde edilen karşılaştırma ve benzetim sonuçlarına göre, KABPI kontrol yöntemi istenen kontrol kriterlerini karşılamada diğerlerine nazaran daha iyi sonuçlar göstermiştir.

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Cite This Article

TUNA, M. (2020). Fuzzy-Based Intelligent Controller Design for Robust Speed Control of PMDC Motor in Unstable Conditions. ACADEMIC PLATFORM-JOURNAL OF ENGINEERING AND SCIENCE, Cilt: 8 - Sayı: 2, 237–248. https://ajindex.com/articles/354868

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