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Conference Papers Year : 2023

Maximum Power Point Tracking of a Photovoltaic System Using State Feedback Gain Fuzzy Control

Abstract

An effective Maximum Power Point Tracking (MPPT) technique, that can be used in a variety of environmental conditions, is tackled with in this note. To this aim, an MPPT control based on a T-S fuzzy model is applied improving thus the performance and the efficiency of a solar photovoltaic (PV) generator. The nonlinear system's dynamics are embedded in a T-S fuzzy model. Sufficient criteria for designing such fuzzy control policy are presented in terms of linear matrix inequalities based on a quadratic Lyapunov function combined with some helpful slack variables (i.e. dilated quadratic LMI conditions). The proposed method reduces tracking time while overcoming the oscillation that usually appear near the maximum powerpoint. Besides, the simulation of a photovoltaic system using the proposed control policy demonstrates the efficiency of the approach even in the case of climate changes.
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Dates and versions

hal-03924577 , version 1 (05-01-2023)

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Redouane Chaibi, Rachid El Bachtiri, Karima El Hammoumi, Mohamed Yagoubi. Maximum Power Point Tracking of a Photovoltaic System Using State Feedback Gain Fuzzy Control. ICSC 2022: 10th International Conference on Systems and Control, Nov 2022, Marseille, France. pp.119-124, ⟨10.1109/ICSC57768.2022.9993856⟩. ⟨hal-03924577⟩
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