Journals / Electronic Letters on Science and Engineering / 2007 / Volume: 3 Issue: 2

Fuzzy and Adaptive Neural Fuzzy Control of Compound Pendulum Angle

Asili Sarkaç Açisinin Bulanik Sonuç Çikarim Yöntemi ve Adaptif Ag yapili Bulanik Sonuç Çikarim Yöntemiyle Belirlenmesi

Pages
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Publication Date
2007-08-01
DOI
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AI Summary & Key Takeaways

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

Adaptive Neural Fuzzy Control gives better conclusions than Fuzzy control on this system

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study , A compound pendulum system has been designed .
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Key Findings & Data:Open loop control answer of system, Fuzzy control of system , and Adaptif Neural Fuzzy Control of system has been compared.System has designed with a dc motor and propeller.
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Conclusion & Impact:Adaptive Neural Fuzzy Control gives better conclusions than Fuzzy control on this system
🔬Design:Article
📍Scope:Comprehensive Sample
⚙️Variables:Compound Pendulum · Fuzzy Control · ANFIS

Abstract

In this study , A compound pendulum system has been designed . Open loop control answer of system, Fuzzy control of system , and Adaptif Neural Fuzzy Control of system has been compared.System has designed with a dc motor and propeller. Adaptive Neural Fuzzy Control gives better conclusions than Fuzzy control on this system

Özet

Bu çalismada asili sarkaç sistemi olusturulmustur.Sistemin açik çevrim cevabi ile Bulanik denetleyicili ve Adaptif bulanik denetleyicili cevaplari mukayese edilmistir. Sistem dc motor ve pervane kullanilarak tasarlanmistir. Adaptif bulanik sonuç çikarim yönteminin bulanik sonuç çikarimina kiyasla çok daha iyi sonuçlar verdigi belirlenmistir.

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Cite This Article

Küçüker, A., Rüzgar, M. (2007). Fuzzy and Adaptive Neural Fuzzy Control of Compound Pendulum Angle. Electronic Letters on Science and Engineering, Volume: 3 Issue: 2. https://ajindex.com/articles/1181111

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