摘要：AbstractThis 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 robustH∞control strategy ensures global MPP convergence. Furthermore, when compared to the existing solutions, simulations proved that it has better performances.
关键词：KeywordsPhotovoltaic systempartial shading conditions (PSCs)BatteriesBoost converterMaximum power point trakingTakagi-Sugeno fuzzy systems
