Rapid control prototyping based on 32-bit ARM cortex-M3 microcontroller for photovoltaic MPPT algorithms

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dc.contributor.authorAlhajomar, Fuad
dc.contributor.authorGökkuş, Göksel
dc.contributor.authorKulaksız, Ahmet Afşin
dc.date.accessioned2020-03-26T20:19:12Z
dc.date.available2020-03-26T20:19:12Z
dc.date.issued2019
dc.departmentSelçuk Üniversitesi, Mühendislik Fakültesi, Elektirik ve Elektronik Mühendisliği Bölümüen_US
dc.description.abstractSince the beginning of the war in Syria, most of the electricity infrastructure has been destroyed, leaving millions with unreliable energy. In such regions vulnerable to energy insecurity, an alternative means of electricity production is sought. As an attractive option, the interest is directed to solar energy. However, because of a lack of expertise in solar energy conversion and the high cost of smart technology in these regions, people have typically used photovoltaic systems in primitive ways, in which the efficiency of solar energy conversion is low. There is, therefore, a need for inexpensive, easy-to-implement, yet highly efficient and high performing solutions. STMicroelectronics 32-bit ARM as a maximum power point tracking (MPPT) controller offers a potential solution to the problem of low conversion efficiency in stand-alone solar systems. In this study, using Matlab-Simulink and STMicrelectronics-32 bit ARM board, simulation and practical test is set up to evaluate the performance of the Perturbation & Observation, Incremental Conductance, and Fuzzy Logic MPPT algorithms, in order to determine the most appropriate algorithm to use in small scale solar energy systems. Therefore, the objective of this study is to explore rapid control prototyping tools for saving time and effort to the experts in the implementation process of the proposed systems. The results indicate the effectiveness of the fuzzy logic algorithm to draw more energy, decrease oscillation and provide a fast response under variable weather conditions. Furthermore, the three algorithms were able to find and track MPP.en_US
dc.description.sponsorshipSelcuk University scientific research projects coordinate (BAP)Selcuk University [17401144]en_US
dc.description.sponsorshipThis paper is granted by Selcuk University scientific research projects coordinate (BAP) under Project No 17401144. Fuad ALHAJOMAR would like to express his gratitude to The Council for At-Risk Academics (Cara), United Kingdom.en_US
dc.identifier.citationAlhajomar, F., Gokkus, G., Kulaksız, A. A. (2019). Rapid Control Prototyping Based on 32-bit ARM Cortex-M3 Microcontroller for Photovoltaic MPPT Algorithms. International Journal of Renewable Energy Research-IJRER, 9(4), 1938-1947.
dc.identifier.endpage1947en_US
dc.identifier.issn1309-0127en_US
dc.identifier.issue4en_US
dc.identifier.pmid#YOKen_US
dc.identifier.startpage1938en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/38148
dc.identifier.volume9en_US
dc.identifier.wosWOS:000504842200034en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.institutionauthorAlhajomar, Fuad.
dc.language.isoenen_US
dc.publisherINT JOURNAL RENEWABLE ENERGY RESEARCHen_US
dc.relation.ispartofINTERNATIONAL JOURNAL OF RENEWABLE ENERGY RESEARCHen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectPhotovoltaicen_US
dc.subjectMPPTen_US
dc.subjectIncremental Conductanceen_US
dc.subjectPerturbation&Observationen_US
dc.subjectFuzzy Logicen_US
dc.subjectRapid Prototypingen_US
dc.titleRapid control prototyping based on 32-bit ARM cortex-M3 microcontroller for photovoltaic MPPT algorithmsen_US
dc.typeArticleen_US

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