Journals / Politeknik Dergisi / 2000 / Cilt: 3 - Sayı: 3

Fuzzy logic controller based a climatisation system

Bulanık mantık denetleyicili bir iklimlendirme sistemi

Pages
15–22
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

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

The operation the system can be observed changing membership functions and rules of the FLC by the simulator.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, a climatisation system has been controlled with FLC and a simulator has been developed to observe the operation the system.
📊
Key Findings & Data:In this paper, a climatisation system has been controlled with FLC and a simulator has been developed to observe the operation the system.
💡
Conclusion & Impact:The operation the system can be observed changing membership functions and rules of the FLC by the simulator.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this paper, a climatisation system has been controlled with FLC and a simulator has been developed to observe the operation the system. The operation the system can be observed changing membership functions and rules of the FLC by the simulator.

Özet

Bu makalede bir iklimlendirme sisteminin kontrolü bulanık mantık denetleyici ile yapılmış ve sistemin çalışmasını izlemek amacıyla bir simulator hazırlanmıştır. Yapılan simulator ile bulanık mantık denetleyiciye ait üyelik fonksiyonları ve kural tablosu değiştirilerek sistemin çalışması izlenebilmektedir.

🔖

Cite This Article

ELMAS, Ç. (2000). Fuzzy logic controller based a climatisation system. Politeknik Dergisi, Cilt: 3 - Sayı: 3, 15–22. https://ajindex.com/articles/307314

References (12)

  1. Baldwin, J.F. and Zhou, S.Q., "A Fuzzy Relational Inference Language.", rep. no. EM/FS132, University of Bristol, England, 1982
  2. Hellendorn, H., and Thomas, C., "Defuzzification in Fuzzy Controllers", Intelligent and Fuzzy Systems, Vol.1,pp. 109- 123, 1993
  3. Zadeh, L.A., "Fuzzy Sets", Information and Control, New York Academic Press, Vol.8, pp.338-353, 1965
  4. Zadeh, L.A., "Outline of a New Approach to the Analysis of Complex Systems and Decision Processes", IEEE Trans. Syst. Man & Cybern, January, 1973
  5. Mamdani, E.H., and Assilian, S., "An Experiment in Linguistic Syntesis With a Fuzzy Logic Controller", International Journal of Machine Studies, Vol.7, pp.1-13, 1975
  6. Bay Ö.F., Elmas Ç., Alcı, M., "Fuzzy Logic Based Control of a Switched Reluctance Drive", ACEMP'95, 5-7 June, 1995, Kuşadası, Türkiye
  7. Elmas, Ç., Bay, Ö.F., "Modelling and Operation of a Nonlinear Switched Reluctance Motor Drive Based on Fuzzy Logic", European Power Electronics and Applications Conferance, 19-21, Sevilla, Spain, September, 1995
  8. Kosko, B., Neural Networks and Fuzzy Systems, Prentice Hall, Englewood Cliffs, N.J:, 1992
  9. Aizerman, M.A., Fuzzy Sets, Fuzzy Proofs and certain Unsolved problems in the theory of Automatic Control. Avtomatika I Telemehanika, 171-177 10. Lee, C., "Fuzzy Logic in Control Systems, Fuzzy Logic Controller, Parts I and 11", IEEE Trans. Syst., Man & Cybern., Vol.20, pp.404-435, 1990
  10. Zadeh, L.A., "On Fuzzy Algorithms", Electron. Res. Lab., Univ. California, Berkeley, Memo. M-325, 1971
  11. Eyüboğlu, S., " Klima Sistemlerinin Otomatik Kontrolü", Termodinamik Aylık Dergisi, Nisan, 1994
  12. Ayken, U., "Oda İklimlendirme ve Sıcaklık Kontrol Sistemleri", Termodinamik Aylık Dergisi, Nisan, 1994.