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Photovoltaic System's MPPT Under Partial Shading Using T-S Fuzzy Robust Control

Abstract : This paper deals with a T-S fuzzy robust control achieving maximum power point tracking (MPPT) for photovoltaic (PV) systems under partial shading situations. The aim is to track global maximum power point (GMPP). The T-S fuzzy robust control consists in an optimization approach that overcomes the well-known perturb and observe (P&O) technique drawbacks, such as the decreased tracking efficiency and transient oscillations. For this aim, a photovoltaic generator (PVG) with a DC-DC boost converter and battery energy storage devices are considered. The optimum trajectory is generated using a T-S fuzzy reference model, which must be followed to obtain optimal powerpoint. Solving a set of linear matrix inequalities (LMIs) yields the sought controller gains. A simulation is carried out to show that the tracking performance of the proposed T-S fuzzy robust control is assessed for various partial shading patterns. The results confirm that the T-S fuzzy robust H∞ control strategy ensures global MPP convergence. Furthermore, when compared to the existing solutions, simulations proved that it has better performances.
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Contributor : Mohamed Yagoubi Connect in order to contact the contributor
Submitted on : Thursday, August 18, 2022 - 2:10:16 PM
Last modification on : Tuesday, September 27, 2022 - 10:08:56 AM


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Redouane Chaibi, Rachid El Bachtiri, Karima El Hammoumi, Mohamed Yagoubi. Photovoltaic System's MPPT Under Partial Shading Using T-S Fuzzy Robust Control. ALCOS 2022: 14th IFAC International Workshop on Adaptive and Learning Control Systems, Jun 2022, Casablanca, Morocco. pp.214-221, ⟨10.1016/j.ifacol.2022.07.314⟩. ⟨hal-03630238⟩



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