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Automated dual-axis solar tracking system using fuzzy logic control.

Utilization of solar powered system as renewable energy alternatives plays a dominant role in generating electricity. Throughout the years, solar tracking system has been continuously improved by researchers globally to maximize the power efficiency of a system. In this paper, a Fuzzy Logic Controll...

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Main Authors:	Yang, Leng Zhi, Md. Yunus, Mohd. Amri, Sahlan, Shafishuhaza, Jamali, Annisa
Format:	Conference or Workshop Item
Published:	2023
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/107861/ http://dx.doi.org/10.1109/ICSIMA59853.2023.10373468
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id	my.utm.107861
record_format	eprints
spelling	my.utm.1078612024-10-08T06:39:42Z http://eprints.utm.my/107861/ Automated dual-axis solar tracking system using fuzzy logic control. Yang, Leng Zhi Md. Yunus, Mohd. Amri Sahlan, Shafishuhaza Jamali, Annisa TK Electrical engineering. Electronics Nuclear engineering Utilization of solar powered system as renewable energy alternatives plays a dominant role in generating electricity. Throughout the years, solar tracking system has been continuously improved by researchers globally to maximize the power efficiency of a system. In this paper, a Fuzzy Logic Controller (FLC) is integrated into a large scale solar tracking system with photovoltaic (PV) panels to optimize the system's performance. In this project, a dual-axis solar tracking based on light intensity comparison using Fuzzy Logic Control method is utilized. Arduino Uno microcontroller is used as the main controller of this system and Light Dependent Resistors (LDR) are used to sense the light intensity at different altitude angles and sun azimuth. Two NEMA 34 stepper motors are used to actuate the Photovoltaic (PV) system. FLC is utilized to help the microcontroller to decide which direction and position of the PV panel should rotate to or stay. From the experiment conducted, it was observed that the developed system has an increase of output power efficiency of 96% when compared to the conventional solar tracking system. 2023-10 Conference or Workshop Item PeerReviewed Yang, Leng Zhi and Md. Yunus, Mohd. Amri and Sahlan, Shafishuhaza and Jamali, Annisa (2023) Automated dual-axis solar tracking system using fuzzy logic control. In: 9th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2023, 17 October 2023 - 18 October 2023, Kuala Lumpur, Malaysia. http://dx.doi.org/10.1109/ICSIMA59853.2023.10373468
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Yang, Leng Zhi Md. Yunus, Mohd. Amri Sahlan, Shafishuhaza Jamali, Annisa Automated dual-axis solar tracking system using fuzzy logic control.
description	Utilization of solar powered system as renewable energy alternatives plays a dominant role in generating electricity. Throughout the years, solar tracking system has been continuously improved by researchers globally to maximize the power efficiency of a system. In this paper, a Fuzzy Logic Controller (FLC) is integrated into a large scale solar tracking system with photovoltaic (PV) panels to optimize the system's performance. In this project, a dual-axis solar tracking based on light intensity comparison using Fuzzy Logic Control method is utilized. Arduino Uno microcontroller is used as the main controller of this system and Light Dependent Resistors (LDR) are used to sense the light intensity at different altitude angles and sun azimuth. Two NEMA 34 stepper motors are used to actuate the Photovoltaic (PV) system. FLC is utilized to help the microcontroller to decide which direction and position of the PV panel should rotate to or stay. From the experiment conducted, it was observed that the developed system has an increase of output power efficiency of 96% when compared to the conventional solar tracking system.
format	Conference or Workshop Item
author	Yang, Leng Zhi Md. Yunus, Mohd. Amri Sahlan, Shafishuhaza Jamali, Annisa
author_facet	Yang, Leng Zhi Md. Yunus, Mohd. Amri Sahlan, Shafishuhaza Jamali, Annisa
author_sort	Yang, Leng Zhi
title	Automated dual-axis solar tracking system using fuzzy logic control.
title_short	Automated dual-axis solar tracking system using fuzzy logic control.
title_full	Automated dual-axis solar tracking system using fuzzy logic control.
title_fullStr	Automated dual-axis solar tracking system using fuzzy logic control.
title_full_unstemmed	Automated dual-axis solar tracking system using fuzzy logic control.
title_sort	automated dual-axis solar tracking system using fuzzy logic control.
publishDate	2023
url	http://eprints.utm.my/107861/ http://dx.doi.org/10.1109/ICSIMA59853.2023.10373468
_version_	1814043542930063360
score	13.222552

Automated dual-axis solar tracking system using fuzzy logic control.

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