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Fuzzy logic and pi controller for photovoltaic panel battery charging system

Due to the nonlinear property of the PV panels, there are a few significant restrictions and limitations in the PV solar system. The PV panels always have to depend on environmental conditions such as temperature and solar radiation to generate efficient power. This paper proposed an optimum c...

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Main Authors: Motakabber, S. M. A., Zahirul Alam, A. H. M., Mazbahur, Rahman Khan, Syed Ahmad, Fawwaz Wafa
Format: Article
Language:English
Published: IIUM Press 2022
Subjects:
TK2896 Production of electricity by direct energy conversion
TK452 Electric apparatus and materials. Electric circuits. Electric networks
Online Access:http://irep.iium.edu.my/98648/1/98648_Fuzzy%20logic%20and%20pi%20controller.pdf
http://irep.iium.edu.my/98648/
https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/2385/865
https://doi.org/10.31436/iiumej.v23i2
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spelling my.iium.irep.986482022-07-04T04:06:04Z http://irep.iium.edu.my/98648/ Fuzzy logic and pi controller for photovoltaic panel battery charging system Motakabber, S. M. A. Zahirul Alam, A. H. M. Mazbahur, Rahman Khan Syed Ahmad, Fawwaz Wafa TK2896 Production of electricity by direct energy conversion TK452 Electric apparatus and materials. Electric circuits. Electric networks Due to the nonlinear property of the PV panels, there are a few significant restrictions and limitations in the PV solar system. The PV panels always have to depend on environmental conditions such as temperature and solar radiation to generate efficient power. This paper proposed an optimum control system that can handle the uncertainties and nonlinearities of any system by using the Fuzzy Logic Control system (FLC). The proposed system utilized an FLC system for a DC-DC boost converter, tracking the PV panel’s maximum power point (MPPT). A PI control system is also used to maintain the continuous power supply for an optimum battery charging system for the DC-DC Buck converter. The goal is to provide constant voltage and appropriate current for charging the battery. It will increase the system efficiency and reduce the losses. It would also increase the battery life cycle and help the battery to charge fast. There are several MPPT methods found in the literature. The FLC can make a precise decision by considering the environmental state of the system. It can get a response to nonlinear environmental conditions instantly. The proposed system yielded an expected accuracy of 92% to 96%, with a system efficiency of 76% to 83%. Besides, it does not require any knowledge about the system, since it is a rule-based system. The entire system has been designed in MATLAB/Simulink. The simulation results have been analyzed under 9 environmental states in a 1.0 s period. IIUM Press 2022-07-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/98648/1/98648_Fuzzy%20logic%20and%20pi%20controller.pdf Motakabber, S. M. A. and Zahirul Alam, A. H. M. and Mazbahur, Rahman Khan and Syed Ahmad, Fawwaz Wafa (2022) Fuzzy logic and pi controller for photovoltaic panel battery charging system. IIUM Engineering Journal, 23 (2). pp. 138-153. ISSN 1511-788X E-ISSN 2289-7860 https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/2385/865 https://doi.org/10.31436/iiumej.v23i2
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TK2896 Production of electricity by direct energy conversion
TK452 Electric apparatus and materials. Electric circuits. Electric networks
spellingShingle TK2896 Production of electricity by direct energy conversion
TK452 Electric apparatus and materials. Electric circuits. Electric networks
Motakabber, S. M. A.
Zahirul Alam, A. H. M.
Mazbahur, Rahman Khan
Syed Ahmad, Fawwaz Wafa
Fuzzy logic and pi controller for photovoltaic panel battery charging system
description Due to the nonlinear property of the PV panels, there are a few significant restrictions and limitations in the PV solar system. The PV panels always have to depend on environmental conditions such as temperature and solar radiation to generate efficient power. This paper proposed an optimum control system that can handle the uncertainties and nonlinearities of any system by using the Fuzzy Logic Control system (FLC). The proposed system utilized an FLC system for a DC-DC boost converter, tracking the PV panel’s maximum power point (MPPT). A PI control system is also used to maintain the continuous power supply for an optimum battery charging system for the DC-DC Buck converter. The goal is to provide constant voltage and appropriate current for charging the battery. It will increase the system efficiency and reduce the losses. It would also increase the battery life cycle and help the battery to charge fast. There are several MPPT methods found in the literature. The FLC can make a precise decision by considering the environmental state of the system. It can get a response to nonlinear environmental conditions instantly. The proposed system yielded an expected accuracy of 92% to 96%, with a system efficiency of 76% to 83%. Besides, it does not require any knowledge about the system, since it is a rule-based system. The entire system has been designed in MATLAB/Simulink. The simulation results have been analyzed under 9 environmental states in a 1.0 s period.
format Article
author Motakabber, S. M. A.
Zahirul Alam, A. H. M.
Mazbahur, Rahman Khan
Syed Ahmad, Fawwaz Wafa
author_facet Motakabber, S. M. A.
Zahirul Alam, A. H. M.
Mazbahur, Rahman Khan
Syed Ahmad, Fawwaz Wafa
author_sort Motakabber, S. M. A.
title Fuzzy logic and pi controller for photovoltaic panel battery charging system
title_short Fuzzy logic and pi controller for photovoltaic panel battery charging system
title_full Fuzzy logic and pi controller for photovoltaic panel battery charging system
title_fullStr Fuzzy logic and pi controller for photovoltaic panel battery charging system
title_full_unstemmed Fuzzy logic and pi controller for photovoltaic panel battery charging system
title_sort fuzzy logic and pi controller for photovoltaic panel battery charging system
publisher IIUM Press
publishDate 2022
url http://irep.iium.edu.my/98648/1/98648_Fuzzy%20logic%20and%20pi%20controller.pdf
http://irep.iium.edu.my/98648/
https://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/2385/865
https://doi.org/10.31436/iiumej.v23i2
_version_ 1738510126004830208
score 13.211869

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