Fuzzy Logic Controller Design for Intelligent Air-Conditioning System

Inefficient air cooling systems may cause of wasting energy in a great amount specially in the urban area. Being the most popular cooling system, air-conditioners have been used in domestic usage as well as in industrial applications. However, the unintelligent nature of such cooling system gives ri...

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Main Authors:	Ahamed, N. U., Zahari, Taha, Ismail, Mohd Khairuddin, Rabbi, M. F., Rahaman, S. A. M. Matiur, Sundaraj, Kenneth
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2016
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/13839/ http://umpir.ump.edu.my/id/eprint/13839/ http://umpir.ump.edu.my/id/eprint/13839/7/fkkp-2016-nizam-Fuzzy%20Logic%20Controller%20Design%20for%20Intelligent.pdf http://umpir.ump.edu.my/id/eprint/13839/13/fkee-2016-rabbi-Fuzzy%20Logic%20Controller%20Design.pdf

id	ump-13839
recordtype	eprints
spelling	ump-138392017-09-12T01:08:02Z http://umpir.ump.edu.my/id/eprint/13839/ Fuzzy Logic Controller Design for Intelligent Air-Conditioning System Ahamed, N. U. Zahari, Taha Ismail, Mohd Khairuddin Rabbi, M. F. Rahaman, S. A. M. Matiur Sundaraj, Kenneth TK Electrical engineering. Electronics Nuclear engineering Inefficient air cooling systems may cause of wasting energy in a great amount specially in the urban area. Being the most popular cooling system, air-conditioners have been used in domestic usage as well as in industrial applications. However, the unintelligent nature of such cooling system gives rise to excess energy consumption which causes a huge problem in the current energy hungry world. In this paper, we present design of a fuzzy logic controller for the intelligent air-conditioning system. The performance of the controller is also simulated. The proposed controller has the adaptive nature to control fan and compressor speed which leads to reducing power consumption. Also, the system controls the operation mode to retain the healthy oxygen level and humid condition of the indoor environment. IEEE 2016-07-30 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/13839/7/fkkp-2016-nizam-Fuzzy%20Logic%20Controller%20Design%20for%20Intelligent.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/13839/13/fkee-2016-rabbi-Fuzzy%20Logic%20Controller%20Design.pdf Ahamed, N. U. and Zahari, Taha and Ismail, Mohd Khairuddin and Rabbi, M. F. and Rahaman, S. A. M. Matiur and Sundaraj, Kenneth (2016) Fuzzy Logic Controller Design for Intelligent Air-Conditioning System. In: IEEE 2nd International Conference on Control Science and Systems Engineering (ICCSSE 2016), 27-29 July 2016 , Singapore. pp. 232-236.. ISBN 978-1-4673-9872-5 https://doi.org/10.1109/CCSSE.2016.7784388
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Ahamed, N. U. Zahari, Taha Ismail, Mohd Khairuddin Rabbi, M. F. Rahaman, S. A. M. Matiur Sundaraj, Kenneth Fuzzy Logic Controller Design for Intelligent Air-Conditioning System
description	Inefficient air cooling systems may cause of wasting energy in a great amount specially in the urban area. Being the most popular cooling system, air-conditioners have been used in domestic usage as well as in industrial applications. However, the unintelligent nature of such cooling system gives rise to excess energy consumption which causes a huge problem in the current energy hungry world. In this paper, we present design of a fuzzy logic controller for the intelligent air-conditioning system. The performance of the controller is also simulated. The proposed controller has the adaptive nature to control fan and compressor speed which leads to reducing power consumption. Also, the system controls the operation mode to retain the healthy oxygen level and humid condition of the indoor environment.
format	Conference or Workshop Item
author	Ahamed, N. U. Zahari, Taha Ismail, Mohd Khairuddin Rabbi, M. F. Rahaman, S. A. M. Matiur Sundaraj, Kenneth
author_facet	Ahamed, N. U. Zahari, Taha Ismail, Mohd Khairuddin Rabbi, M. F. Rahaman, S. A. M. Matiur Sundaraj, Kenneth
author_sort	Ahamed, N. U.
title	Fuzzy Logic Controller Design for Intelligent Air-Conditioning System
title_short	Fuzzy Logic Controller Design for Intelligent Air-Conditioning System
title_full	Fuzzy Logic Controller Design for Intelligent Air-Conditioning System
title_fullStr	Fuzzy Logic Controller Design for Intelligent Air-Conditioning System
title_full_unstemmed	Fuzzy Logic Controller Design for Intelligent Air-Conditioning System
title_sort	fuzzy logic controller design for intelligent air-conditioning system
publisher	IEEE
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/13839/ http://umpir.ump.edu.my/id/eprint/13839/ http://umpir.ump.edu.my/id/eprint/13839/7/fkkp-2016-nizam-Fuzzy%20Logic%20Controller%20Design%20for%20Intelligent.pdf http://umpir.ump.edu.my/id/eprint/13839/13/fkee-2016-rabbi-Fuzzy%20Logic%20Controller%20Design.pdf
first_indexed	2023-09-18T22:16:55Z
last_indexed	2023-09-18T22:16:55Z
_version_	1777415398384205824

Fuzzy Logic Controller Design for Intelligent Air-Conditioning System

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