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An Efficient Maximum Power Point Tracking Controller for Photovoltaic Systems Using Takagi–Sugeno Fuzzy Models

  • Research Article - Electrical Engineering
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Abstract

This paper proposes a new Takagi–Sugeno (T–S) fuzzy model-based maximum power tracking controller to draw the maximum power from a solar photovoltaic (PV) system. A DC–DC boost converter is used to control the output power from the PV panel. Based on the T–S fuzzy model, the fuzzy maximum power point tracking controller is designed by constructing fuzzy gain state feedback controller and an optimal reference model for the optimal PV output voltage, which corresponds actually to maximum power point (MPP). A comparative study with the two base-line controllers of perturb and observe, and the incremental conductance shows that the proposed controller offers fast dynamic response, much less oscillation around MPP, and superior performance.

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Authors and Affiliations

  1. Department of Electrotechnic, Faculty of Technology, University of Setif 1, 19000, Maabouda, Setif, Algeria

    D. Ounnas & T. Bouktir

  2. LASA Laboratory, Department of Electronics, Faculty of Engineering, University Badji-Mokhtar of Annaba, P.O. Box 12, 23000, Annaba, Algeria

    M. Ramdani

  3. LABGET Laboratory, Department of Electrical Engineering, Faculty of Science and Technology, University of Tebessa, Route de Constantine, 12002, Tebessa, Algeria

    S. Chenikher

Authors
  1. D. Ounnas
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  2. M. Ramdani
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  3. S. Chenikher
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  4. T. Bouktir
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Correspondence to D. Ounnas.

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Ounnas, D., Ramdani, M., Chenikher, S. et al. An Efficient Maximum Power Point Tracking Controller for Photovoltaic Systems Using Takagi–Sugeno Fuzzy Models. Arab J Sci Eng 42, 4971–4982 (2017). https://doi.org/10.1007/s13369-017-2532-0

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  • DOI: https://doi.org/10.1007/s13369-017-2532-0

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