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Journals / Mehmet Akif Ersoy Üniversitesi Fen Bilimleri Enstitüsü Dergisi / 2010 / Cilt: 1 Sayı: 2

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

Bulanık mantık ve PIC kullanılarak bir klima sisteminin kontrolü

Hande Erkaymaz
İbrahim Çayıroğlu
Pages
167–180
Publication Date
2010-12-01
DOI
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AI Summary & Key Takeaways

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

Heater and cooler fans work as required climate.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this study an air conditioner system was put into practice as programming PIC by fuzzy logic system.
📊
Key Findings & Data:The system keeps temperature of atmosphere between 19-23oC.
💡
Conclusion & Impact:Heater and cooler fans work as required climate.
🔬Design:Makale
📍Scope:Comprehensive Sample
⚙️Variables:Fuzzy logic · climate · air conditional

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.

Özet

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.

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Cite This Article

Erkaymaz, H., Çayıroğlu, İ. (2010). Control of an air conditional system with fuzzy logic and PIC using. Mehmet Akif Ersoy Üniversitesi Fen Bilimleri Enstitüsü Dergisi, Cilt: 1 Sayı: 2, 167–180. https://ajindex.com/articles/1527880

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References (13)

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