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Fuzzy based BSA optimization for maximum power point tracking controller performance evaluation

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dc.contributor.authorSayem M.A.en_US
dc.contributor.authorNadzirah A.en_US
dc.contributor.authorAl-Shetwi A.Q.en_US
dc.contributor.authorHannan M.A.en_US
dc.contributor.authorKer P.J.en_US
dc.contributor.authorRahman S.A.en_US
dc.contributor.authorMuttaqi K.M.en_US
dc.contributor.authorid57916203200en_US
dc.contributor.authorid57454629200en_US
dc.contributor.authorid57004922700en_US
dc.contributor.authorid7103014445en_US
dc.contributor.authorid37461740800en_US
dc.contributor.authorid36609854400en_US
dc.contributor.authorid55582332500en_US
dc.date.accessioned2023-05-29T09:09:50Z
dc.date.available2023-05-29T09:09:50Z
dc.date.issued2021
dc.descriptionComputer circuits; Controllers; Conversion efficiency; Fuzzy logic; Learning algorithms; Power control; Solar energy; Solar power generation; Vehicle performance; Algorithms optimizations; Backtracking search algorithms; Controller performance; Fuzzy logic control; Fuzzy logic controllers; Maximum Power Point Tracking; Optimization method; Performances evaluation; Power; Tracking controller; Maximum power point trackersen_US
dc.description.abstractThe world transportation sector is transitioning from traditional fuel vehicles to electric vehicles (EV) in order to minimize carbon emissions from vehicles. Furthermore, for a cleaner environment, it is better to charge the EV using clean power such as solar photovoltaic (PV) systems. However, PV generating an insignificant sum of power which is not sufficient to apply in a specific application. To solve this issue, it is essential to improve the energy conversion efficiency by the Maximum Power Point Tracking (MPPT). In the literature, various algorithms have been used to enhance the MPPT efficiency which still have different limitations. Therefore, this study is developed to improve the MPPT for solar car system charge using Fuzzy Logic Controller (FLC) as the input of the voltage and current of PV systems is variable. Moreover, to overcome the FLC limitations and enhance the performance of the controller, the FLC-based Backtracking Search Algorithm (BSA) optimization method is developed for harvesting maximum power from the solar panel. The power and voltage output of MPPT with and without the optimization is compared to show the optimized controller efficiency. In comparison to the controller with the optimization method, the efficiency is increased significantly (10.36% at 10s for power) than the non-optimized method. In sum, the results have shown the ability of FLC based-BSA optimization method to enhance the efficiency of MPPT for solar-powered cars linking to the swift alteration of insolation due to the dynamic motion of the vehicle. � 2021 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/IAS48185.2021.9677240
dc.identifier.scopus2-s2.0-85124693389
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85124693389&doi=10.1109%2fIAS48185.2021.9677240&partnerID=40&md5=375b818cf02bd36b788c9200aa75281e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26389
dc.identifier.volume2021-October
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleConference Record - IAS Annual Meeting (IEEE Industry Applications Society)
dc.titleFuzzy based BSA optimization for maximum power point tracking controller performance evaluationen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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