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Bulanık mantık ve PIC kullanılarak bir klima sisteminin kontrolü

Year 2010, Volume: 1 Issue: 2, 167 - 180, 01.12.2010

Hande Erkaymaz İbrahim Çayıroğlu

Abstract

In this study an air conditioner system was put into practice as programming PIC by fuzzy logic system. The system keeps temperature of atmosphere between 19-23oC. As input variable damp and heat values are taken by sensor called SHT11 and they are transmitted to PIC 16F876 which programmed by fuzzy logic system. Heater and cooler fans work as required climate.

Keywords

Fuzzy logic climate air conditional PIC.

References

  • Elmas, Ç. (2003). Bulanık Mantık Denetleyiciler (Kuram, Uygulama, Sinirsel Bulanık Mantık), Seçkin Yayıncılık, pp. 230, ISBN : 9753476132 , Ankara.
  • Özek, A., & Sinecen, M. (2004). Klima Sistem Kontrolünün Bulanık Mantıkla Modellemesi, Pamukkale Ünv. Müh. Fak. Mühendislik Bilimleri Dergisi, 10, 353-358.
  • Egilegor, B., & Uribe, J. P. (1997). A Fuzzy Control Adapted By A Neural Network To Maintain A Dwelling Within Thermal Comfort, IBPSA-International Building Performance Simulation Association, Prague, Czech Republic, September 8-10.
  • Lah, M. T., Zupanc, B., & Krainer, A. (2004). Fuzzy control for the illumination and temperature comfort in a test chamber. Building and Environment, 40, 1626–1637.
  • Dounis, A. I., Manolakis, D. E. (2000). Design Of a Fuzzy Sysytem For Living Space Termal – Comfort Regulation, Applied Energy, 69, 119-144.
  • Chena, K., Rysb, M. J., & Leeb, E. S., (2005). Modeling of thermal comfort in air conditioned rooms by fuzzy regression analysis, Mathematical and Computer Modelling, 43, 809– 819.
  • Duan, Y. (1999). Fuzzy Role Based Expert System for Human Thermoregulation Model, University Of California At Berkeley, Mechanical Engineering, Final Project.
  • Michel, J. B., & El-khoury, M. (2006). Design and Optimization of a Fuzzy Controller for Heat and Ventilation in Buildings, http://www.csem.ch
  • Zupančič, B., Škrjanc, I., Krainer, A., & Furlan, B. (2005). Advanced Fuzzy Control Of The Temperature In The Test Chamber, http://wire.ises.org
  • Şenol, F. (2000), Gazi Üniversitesi Teknik Eğitim Fakültesi Elektronik Bilgisayar Eğitimi Bölümü, Bitirme tezi.
  • Özek, A., & Sinecan, M. (2003), Klima Sistem Kontrolünün Bulanik Mantık İle Modellemesi, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 10, 353-358.
  • Feddern, J., & Gebhardt, J. (1995). Fuzzy Logic’le Klima Kontrolü, ELO Elektronik Dergisi, 91, 43-51.

Control of an air conditional system with fuzzy logic and PIC using

Year 2010, Volume: 1 Issue: 2, 167 - 180, 01.12.2010

Hande Erkaymaz İbrahim Çayıroğlu

Abstract

In this study an air conditioner system was put into practice as programming PIC by fuzzy logic system. The system keeps temperature of atmosphere between 19-23oC. As input variable damp and heat values are taken by sensor called SHT11 and they are transmitted to PIC 16F876 which programmed by fuzzy logic system. Heater and cooler fans work as required climate.

Keywords

Fuzzy logic climate air conditional PIC.

References

  • Elmas, Ç. (2003). Bulanık Mantık Denetleyiciler (Kuram, Uygulama, Sinirsel Bulanık Mantık), Seçkin Yayıncılık, pp. 230, ISBN : 9753476132 , Ankara.
  • Özek, A., & Sinecen, M. (2004). Klima Sistem Kontrolünün Bulanık Mantıkla Modellemesi, Pamukkale Ünv. Müh. Fak. Mühendislik Bilimleri Dergisi, 10, 353-358.
  • Egilegor, B., & Uribe, J. P. (1997). A Fuzzy Control Adapted By A Neural Network To Maintain A Dwelling Within Thermal Comfort, IBPSA-International Building Performance Simulation Association, Prague, Czech Republic, September 8-10.
  • Lah, M. T., Zupanc, B., & Krainer, A. (2004). Fuzzy control for the illumination and temperature comfort in a test chamber. Building and Environment, 40, 1626–1637.
  • Dounis, A. I., Manolakis, D. E. (2000). Design Of a Fuzzy Sysytem For Living Space Termal – Comfort Regulation, Applied Energy, 69, 119-144.
  • Chena, K., Rysb, M. J., & Leeb, E. S., (2005). Modeling of thermal comfort in air conditioned rooms by fuzzy regression analysis, Mathematical and Computer Modelling, 43, 809– 819.
  • Duan, Y. (1999). Fuzzy Role Based Expert System for Human Thermoregulation Model, University Of California At Berkeley, Mechanical Engineering, Final Project.
  • Michel, J. B., & El-khoury, M. (2006). Design and Optimization of a Fuzzy Controller for Heat and Ventilation in Buildings, http://www.csem.ch
  • Zupančič, B., Škrjanc, I., Krainer, A., & Furlan, B. (2005). Advanced Fuzzy Control Of The Temperature In The Test Chamber, http://wire.ises.org
  • Şenol, F. (2000), Gazi Üniversitesi Teknik Eğitim Fakültesi Elektronik Bilgisayar Eğitimi Bölümü, Bitirme tezi.
  • Özek, A., & Sinecan, M. (2003), Klima Sistem Kontrolünün Bulanik Mantık İle Modellemesi, Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 10, 353-358.
  • Feddern, J., & Gebhardt, J. (1995). Fuzzy Logic’le Klima Kontrolü, ELO Elektronik Dergisi, 91, 43-51.
There are 12 citations in total.

Details

Primary Language Turkish
Journal Section Research Paper
Authors

Hande Erkaymaz This is me

İbrahim Çayıroğlu This is me

Publication Date December 1, 2010
Published in Issue Year 2010 Volume: 1 Issue: 2

Cite

APA Erkaymaz, H., & Çayıroğlu, İ. (2010). Bulanık mantık ve PIC kullanılarak bir klima sisteminin kontrolü. Mehmet Akif Ersoy Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 1(2), 167-180.