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Fuzzy observer-based control for maximum power-point tracking of a photovoltaic system

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  • M. Allouche
  • K. Dahech
  • M. Chaabane
  • D. Mehdi

Abstract

This paper presents a novel fuzzy control design method for maximum power-point tracking (MPPT) via a Takagi and Sugeno (TS) fuzzy model-based approach. A knowledge-dynamic model of the PV system is first developed leading to a TS representation by a simple convex polytopic transformation. Then, based on this exact fuzzy representation, a H∞ observer-based fuzzy controller is proposed to achieve MPPT even when we consider varying climatic conditions. A specified TS reference model is designed to generate the optimum trajectory which must be tracked to ensure maximum power operation. The controller and observer gains are obtained in a one-step procedure by solving a set of linear matrix inequalities (LMIs). The proposed method has been compared with some classical MPPT techniques taking into account convergence speed and tracking accuracy. Finally, various simulation and experimental tests have been carried out to illustrate the effectiveness of the proposed TS fuzzy MPPT strategy.

Suggested Citation

  • M. Allouche & K. Dahech & M. Chaabane & D. Mehdi, 2018. "Fuzzy observer-based control for maximum power-point tracking of a photovoltaic system," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(5), pages 1061-1073, April.
    • Handle: RePEc:taf:tsysxx:v:49:y:2018:i:5:p:1061-1073
    DOI: 10.1080/00207721.2018.1433246
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