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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:English
English
Published: 2008
Subjects:
QA76.76 Fuzzy System.
Online Access:http://etd.uum.edu.my/1596/1/Morad_Ali_Ambarem_Saleh.pdf
http://etd.uum.edu.my/1596/2/Morad_Ali_Ambarek_Saleh.pdf
http://etd.uum.edu.my/1596/
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spelling my.uum.etd.15962013-07-24T12:12:27Z http://etd.uum.edu.my/1596/ Automated Light Controller Using Fuzzy Logic Saleh, Morad Ali Ambarem. 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 NonPeerReviewed application/pdf en http://etd.uum.edu.my/1596/1/Morad_Ali_Ambarem_Saleh.pdf application/pdf en http://etd.uum.edu.my/1596/2/Morad_Ali_Ambarek_Saleh.pdf Saleh, Morad Ali Ambarem. (2008) Automated Light Controller Using Fuzzy Logic. Masters thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
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
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
publishDate 2008
url http://etd.uum.edu.my/1596/1/Morad_Ali_Ambarem_Saleh.pdf
http://etd.uum.edu.my/1596/2/Morad_Ali_Ambarek_Saleh.pdf
http://etd.uum.edu.my/1596/
_version_ 1644276478219649024
score 13.211869

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