E3S Web of Conferences (Jan 2023)

New fuzzy control design for photovoltaic system using LMI technique

  • Aboulkassim Abdeljabar,
  • Kririm Said,
  • Arjdal El hanafi,
  • Ben Hmamou Driss

DOI
https://doi.org/10.1051/e3sconf/202346900089
Journal volume & issue
Vol. 469
p. 00089

Abstract

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The T-S Fuzzy model-based technique (T-S: Takagi-Sugeno) is used in this research to offer a new fuzzy state feedback control for solar systems with output charge. We discuss a DC-DC boost converter to manage the output power of a solar panel array under shifting meteorological circumstances. To reach optimal power point, a T-S reference model is employed to create a fuzzy state feedback control that must be tracked. Solving a series of linear matrix inequalities (LMIs) yields controller gains. Furthermore, the proposed solution reduces the oscillation disadvantage near the highest power point while simultaneously shortening the tracking time. Finally, simulation of the solar system employing the proposed state feedback control shows that the proposed approach is effective even in the face of climate change.