{"title":"Maximum power point tracking of photovoltaic system using adaptive fuzzy controller","authors":"M. Refaat, Yousry Atia, M. M. Sayed, H. Fattah","doi":"10.1109/ACCS-PEIT.2017.8303030","DOIUrl":null,"url":null,"abstract":"This paper exhibits a complete design of maximum power point tracking (MPPT) control scheme based on an adaptive fuzzy controller. This controller is intended to upgrade the efficiency of a photovoltaic (PV) array and to diminish the output power oscillations. The adaptive nature of the proposed controller provides online tuning of fuzzy rules parameters to deal with varying sun radiation and ambient temperature. The adaptive MPPT controller is compared with existing setups, namely the “incremental conductance’ (I.C) technique and fuzzy logic controller (FLC). Simulation results demonstrate the supremacy of the adaptive technique in terms of the speed of tracking and oscillations reduction around the maximum of power-voltage (P-V) curve.","PeriodicalId":187395,"journal":{"name":"2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Intl Conf on Advanced Control Circuits Systems (ACCS) Systems & 2017 Intl Conf on New Paradigms in Electronics & Information Technology (PEIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACCS-PEIT.2017.8303030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
This paper exhibits a complete design of maximum power point tracking (MPPT) control scheme based on an adaptive fuzzy controller. This controller is intended to upgrade the efficiency of a photovoltaic (PV) array and to diminish the output power oscillations. The adaptive nature of the proposed controller provides online tuning of fuzzy rules parameters to deal with varying sun radiation and ambient temperature. The adaptive MPPT controller is compared with existing setups, namely the “incremental conductance’ (I.C) technique and fuzzy logic controller (FLC). Simulation results demonstrate the supremacy of the adaptive technique in terms of the speed of tracking and oscillations reduction around the maximum of power-voltage (P-V) curve.