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An integral sliding mode controller with super-twisting algorithm for direct power control of wind generator based on a doubly fed induction generator

Author

Listed:
  • F. Z. Tria

    (University of Biskra)

  • K. Srairi

    (University of Biskra)

  • M. T. Benchouia

    (University of Biskra)

  • M. E. H. Benbouzid

    (University of Brest
    Shanghai Maritime University)

Abstract

In order to reduce the chattering phenomena in the conventional sliding mode control, which appears mostly in the rotor currents, the integral sliding mode controller using the super-twisting algorithm is proposed. In this controller, the sliding surfaces are chosen so that they will be compatible with the errors in the stator active and reactive powers. The simulation results obtained when using a three blades wind turbine based a doubly fed induction generator; show the robustness of the proposed control model. The minimization of the chattering such as in the direct and the quadrature component of the rotor currents, which represents in the reducing of total harmonics distortion of the rotor currents and equal, to 3.82 and 3.54, resulting from the application of the integral sliding mode controller with sign function and with super-twisting algorithm respectively.

Suggested Citation

  • F. Z. Tria & K. Srairi & M. T. Benchouia & M. E. H. Benbouzid, 2017. "An integral sliding mode controller with super-twisting algorithm for direct power control of wind generator based on a doubly fed induction generator," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(4), pages 762-769, December.
    • Handle: RePEc:spr:ijsaem:v:8:y:2017:i:4:d:10.1007_s13198-017-0597-5
    DOI: 10.1007/s13198-017-0597-5
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    References listed on IDEAS

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    1. Djurovic, M. & Joksimovic, G., 1996. "Optimal performance of double fed induction generator in windmills," Renewable Energy, Elsevier, vol. 9(1), pages 862-865.
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    Cited by:

    1. Meryem Benakcha & Leila Benalia & Abdelkrim Ammar & Amor Bourek, 2019. "Wind energy conversion system based on dual stator induction generator controlled by nonlinear backstepping and pi controllers," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(4), pages 499-509, August.
    2. Daniel A. Magallón & Carlos E. Castañeda & Francisco Jurado & Onofre A. Morfin, 2021. "Design of a Neural Super-Twisting Controller to Emulate a Flywheel Energy Storage System," Energies, MDPI, vol. 14(19), pages 1-23, October.
    3. W. Slimane & M. T. Benchouia & A. Golea & S. Drid, 0. "Second order sliding mode maximum power point tracking of wind turbine systems based on double fed induction generator," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-12.
    4. Mojtaba Nasiri & Saleh Mobayen & Quan Min Zhu, 2019. "Super-Twisting Sliding Mode Control for Gearless PMSG-Based Wind Turbine," Complexity, Hindawi, vol. 2019, pages 1-15, April.
    5. W. Slimane & M. T. Benchouia & A. Golea & S. Drid, 2020. "Second order sliding mode maximum power point tracking of wind turbine systems based on double fed induction generator," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(3), pages 716-727, June.
    6. Mousavi, Yashar & Bevan, Geraint & Kucukdemiral, Ibrahim Beklan & Fekih, Afef, 2022. "Sliding mode control of wind energy conversion systems: Trends and applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).

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