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Modeling and Fuzzy Command of a Wind Generator

Received: 14 November 2017     Accepted: 30 November 2017     Published: 2 January 2018
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Abstract

A problem of mechanical modeling and robustly stabilization of a wind generator is considered. To overcome the non-linearity of the system, the model of the wind generator is approximated by a Takagi-Sugeno fuzzy model. To stabilize the obtained fuzzy model, two command approaches were developed. They are the fuzzy controller using the parallel distributed compensation (PDC) and the H controller based-fuzzy observer. Numerical optimization problems using linear matrix inequality (LMI) and convex techniques are used to analyze the stability of the wind generator. Finally, simulation examples illustrating the control performance and dynamic behavior of the wind generator under various command approaches are presented.

Published in Science Journal of Circuits, Systems and Signal Processing (Volume 6, Issue 4)
DOI 10.11648/j.cssp.20170604.11
Page(s) 35-43
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Modeling, TS-Fuzzy Control, H∞ Command, LMI Approach, Stability

References
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Cite This Article
  • APA Style

    Nejib Hamrouni, Amel Ghobber, Moncef Jraidi, Ahmed Dhouib. (2018). Modeling and Fuzzy Command of a Wind Generator. Science Journal of Circuits, Systems and Signal Processing, 6(4), 35-43. https://doi.org/10.11648/j.cssp.20170604.11

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    ACS Style

    Nejib Hamrouni; Amel Ghobber; Moncef Jraidi; Ahmed Dhouib. Modeling and Fuzzy Command of a Wind Generator. Sci. J. Circuits Syst. Signal Process. 2018, 6(4), 35-43. doi: 10.11648/j.cssp.20170604.11

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    AMA Style

    Nejib Hamrouni, Amel Ghobber, Moncef Jraidi, Ahmed Dhouib. Modeling and Fuzzy Command of a Wind Generator. Sci J Circuits Syst Signal Process. 2018;6(4):35-43. doi: 10.11648/j.cssp.20170604.11

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  • @article{10.11648/j.cssp.20170604.11,
      author = {Nejib Hamrouni and Amel Ghobber and Moncef Jraidi and Ahmed Dhouib},
      title = {Modeling and Fuzzy Command of a Wind Generator},
      journal = {Science Journal of Circuits, Systems and Signal Processing},
      volume = {6},
      number = {4},
      pages = {35-43},
      doi = {10.11648/j.cssp.20170604.11},
      url = {https://doi.org/10.11648/j.cssp.20170604.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.cssp.20170604.11},
      abstract = {A problem of mechanical modeling and robustly stabilization of a wind generator is considered. To overcome the non-linearity of the system, the model of the wind generator is approximated by a Takagi-Sugeno fuzzy model. To stabilize the obtained fuzzy model, two command approaches were developed. They are the fuzzy controller using the parallel distributed compensation (PDC) and the H∞ controller based-fuzzy observer. Numerical optimization problems using linear matrix inequality (LMI) and convex techniques are used to analyze the stability of the wind generator. Finally, simulation examples illustrating the control performance and dynamic behavior of the wind generator under various command approaches are presented.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - Modeling and Fuzzy Command of a Wind Generator
    AU  - Nejib Hamrouni
    AU  - Amel Ghobber
    AU  - Moncef Jraidi
    AU  - Ahmed Dhouib
    Y1  - 2018/01/02
    PY  - 2018
    N1  - https://doi.org/10.11648/j.cssp.20170604.11
    DO  - 10.11648/j.cssp.20170604.11
    T2  - Science Journal of Circuits, Systems and Signal Processing
    JF  - Science Journal of Circuits, Systems and Signal Processing
    JO  - Science Journal of Circuits, Systems and Signal Processing
    SP  - 35
    EP  - 43
    PB  - Science Publishing Group
    SN  - 2326-9073
    UR  - https://doi.org/10.11648/j.cssp.20170604.11
    AB  - A problem of mechanical modeling and robustly stabilization of a wind generator is considered. To overcome the non-linearity of the system, the model of the wind generator is approximated by a Takagi-Sugeno fuzzy model. To stabilize the obtained fuzzy model, two command approaches were developed. They are the fuzzy controller using the parallel distributed compensation (PDC) and the H∞ controller based-fuzzy observer. Numerical optimization problems using linear matrix inequality (LMI) and convex techniques are used to analyze the stability of the wind generator. Finally, simulation examples illustrating the control performance and dynamic behavior of the wind generator under various command approaches are presented.
    VL  - 6
    IS  - 4
    ER  - 

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Author Information
  • Department of Electric, Science Faculty of Tunis, University of Tunis El Manar, Tunis, Tunisia

  • Department of Electric, Science Faculty of Tunis, University of Tunis El Manar, Tunis, Tunisia

  • Department of Electric, Science Faculty of Tunis, University of Tunis El Manar, Tunis, Tunisia

  • Department of Electric, Science Faculty of Tunis, University of Tunis El Manar, Tunis, Tunisia

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