Adaptive Neural Fuzzy Control gives better conclusions than Fuzzy control on this system
📌 3 Key Takeaways
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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:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Asili sarkaç · Bulanik Kontrol · Adaptif Sinirsel Bulanik Kontrol
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.
KÜÇÜKER, A., RÜZGAR, M. (2007). Fuzzy and Adaptive Neural Fuzzy Control of Compound Pendulum Angle. Electronic Letters on Science and Engineering, Cilt: 3 - Sayı: 2, 27–32. https://ajindex.com/articles/133751