Automated Light Controller Using Fuzzy Logic

This study describes the implementation of fuzzy logic in designing fuzzy automated light controller. The fuzzy controller controls the number of lamps lighted up based on the number of people inside the room. Its main objective is to demonstrate how fuzzy logic can minimize the number of lamps use...

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Main Author:	Saleh, Morad Ali Ambarem.
Format:	Thesis
Language:	eng eng
Published:	2008
Subjects:	QA76.76 Fuzzy System.
Online Access:	https://etd.uum.edu.my/1596/1/Morad_Ali_Ambarem_Saleh.pdf https://etd.uum.edu.my/1596/2/Morad_Ali_Ambarek_Saleh.pdf
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id	my-uum-etd.1596
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	QA76.76 Fuzzy System.
spellingShingle	QA76.76 Fuzzy System. Saleh, Morad Ali Ambarem. Automated Light Controller Using Fuzzy Logic
description	This study describes the implementation of fuzzy logic in designing fuzzy automated light controller. The fuzzy controller controls the number of lamps lighted up based on the number of people inside the room. Its main objective is to demonstrate how fuzzy logic can minimize the number of lamps used and therefore reduce the electricity consumption. In this study, fuzzy logic controller has been implemented and tested to predict the behaviour of the controller under different light conditions by monitoring the membership function parameters. In a conventional light controller, the lamps change according to user’s specification. The light will remain on if the user forgets to switch off the light. Even if an automated light controller exist, at most the system can only be controlled as on and off without being able to adapt with dynamic inputs. Fuzzy logic offers a better method than conventional control methods, especially in the case of counting the number of people and how much the light intensity is needed. In this study, fuzzy logic has the ability to make decision as to how much the light intensity is needed by controlling the number of lamps in the room according to the number of people who have entered or left the room. On the other hand, the conventional light controller does not have the ability to solve this kind of issues. It would be more practical to let more lamps "on" if the light intensity needed is very bright. A conventional method controller for this decision is difficult to find while fuzzy logic controller simplifies the task. This study has achieved its objective, which is to design a fuzzy logic system integrated with hardware circuit of automated light controller using fuzzy logic to control light intensity in a room. In this study, tests cases have illustrated that fuzzy logic control method could be a suitable alternative method to conventional control methods that could save electricity consumption and offers ease of use to human being.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Saleh, Morad Ali Ambarem.
author_facet	Saleh, Morad Ali Ambarem.
author_sort	Saleh, Morad Ali Ambarem.
title	Automated Light Controller Using Fuzzy Logic
title_short	Automated Light Controller Using Fuzzy Logic
title_full	Automated Light Controller Using Fuzzy Logic
title_fullStr	Automated Light Controller Using Fuzzy Logic
title_full_unstemmed	Automated Light Controller Using Fuzzy Logic
title_sort	automated light controller using fuzzy logic
granting_institution	Universiti Utara Malaysia
granting_department	College of Arts and Sciences (CAS)
publishDate	2008
url	https://etd.uum.edu.my/1596/1/Morad_Ali_Ambarem_Saleh.pdf https://etd.uum.edu.my/1596/2/Morad_Ali_Ambarek_Saleh.pdf
_version_	1747827172826939392
spelling	my-uum-etd.15962013-07-24T12:12:27Z Automated Light Controller Using Fuzzy Logic 2008 Saleh, Morad Ali Ambarem. College of Arts and Sciences (CAS) College of Arts and Sciences QA76.76 Fuzzy System. This study describes the implementation of fuzzy logic in designing fuzzy automated light controller. The fuzzy controller controls the number of lamps lighted up based on the number of people inside the room. Its main objective is to demonstrate how fuzzy logic can minimize the number of lamps used and therefore reduce the electricity consumption. In this study, fuzzy logic controller has been implemented and tested to predict the behaviour of the controller under different light conditions by monitoring the membership function parameters. In a conventional light controller, the lamps change according to user’s specification. The light will remain on if the user forgets to switch off the light. Even if an automated light controller exist, at most the system can only be controlled as on and off without being able to adapt with dynamic inputs. Fuzzy logic offers a better method than conventional control methods, especially in the case of counting the number of people and how much the light intensity is needed. In this study, fuzzy logic has the ability to make decision as to how much the light intensity is needed by controlling the number of lamps in the room according to the number of people who have entered or left the room. On the other hand, the conventional light controller does not have the ability to solve this kind of issues. It would be more practical to let more lamps "on" if the light intensity needed is very bright. A conventional method controller for this decision is difficult to find while fuzzy logic controller simplifies the task. This study has achieved its objective, which is to design a fuzzy logic system integrated with hardware circuit of automated light controller using fuzzy logic to control light intensity in a room. In this study, tests cases have illustrated that fuzzy logic control method could be a suitable alternative method to conventional control methods that could save electricity consumption and offers ease of use to human being. 2008 Thesis https://etd.uum.edu.my/1596/ https://etd.uum.edu.my/1596/1/Morad_Ali_Ambarem_Saleh.pdf application/pdf eng validuser https://etd.uum.edu.my/1596/2/Morad_Ali_Ambarek_Saleh.pdf application/pdf eng public masters masters Universiti Utara Malaysia Anderson, G., Zheng, U., Wyeth, R., Johnson, A. and Bissett, J. (2000). "A rough set/fuzzy logic based decision making system for medical applications",International Journal of General Systems, Vol. 29 No.6, pp.879-96. 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Automated Light Controller Using Fuzzy Logic

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