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Link to original content: https://unpaywall.org/10.1007/S00500-017-2691-7
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Multiobjective maximum power tracking control of photovoltaic systems: T-S fuzzy model-based approach

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Abstract

This paper presents a multiobjective maximum power point tracking (MPPT) control for photovoltaic (PV) system to guarantee both \(H_{2}\) optimal control and \(H_{\infty }\) model reference tracking performance simultaneously. First, the Takagi and Sugeno (T–S) fuzzy model is employed to describe the dynamic behavior of DC–DC boost converter. Then, based on this exact T–S fuzzy representation, multiobjective \(H_{2}/H_{\infty }\) MPPT controller is designed to minimize concurrently the \(H_{2}\) tracking error and \(H_{\infty }\) disturbance attenuation level for the PV system. A specified T–S reference model is constructed to provide the desired trajectory which must be tracked. An MPP searching algorithm is also added in the global MPPT structure to generate the optimal PV current which is considered as input control for the T–S reference model. Finally, simulation results are given to illustrate the optimal tracking performance of the proposed fuzzy controller even when rapidly changing climatic conditions.

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Authors and Affiliations

  1. Laboratory of Sciences and Techniques of Automatic Control & Computer Engineering (Lab-STA), National Engineering School of Sfax, University of Sfax, Postal Box 1173, 3038, Sfax, Tunisia

    M. Allouche, K. Dahech & M. Chaabane

Authors
  1. M. Allouche
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  2. K. Dahech
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  3. M. Chaabane
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Correspondence to M. Allouche.

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The authors declare that they have no conflict of interest.

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This article does not contain any studies with human participants performed by any of the authors.

Additional information

Communicated by A. Di Nola.

Appendix

Appendix

See Table 3.

Table 3 Solar module LC120-12P
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Allouche, M., Dahech, K. & Chaabane, M. Multiobjective maximum power tracking control of photovoltaic systems: T-S fuzzy model-based approach. Soft Comput 22, 2121–2132 (2018). https://doi.org/10.1007/s00500-017-2691-7

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