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Sliding mode controller based on type-2 fuzzy logic PID for a variable speed wind turbine

Author

Listed:
  • Zineb Lahlou

    (Sidi Mohamed Ben Abdellah University)

  • Khaddouj Ben Meziane

    (Sidi Mohamed Ben Abdellah University)

  • Ismail Boumhidi

    (Sidi Mohamed Ben Abdellah University)

Abstract

In this paper, an optimal type-2 fuzzy logic proportional integral derivative controller based on sliding mode controller (IT2FL-PID-SMC) is designed for a wind turbine with variable speed. The major aim of this work is to overcome the deficiencies of the classical sliding mode controller. In this study, the sliding mode controller presented is modified; the sliding surface is replaced by the type-2 fuzzy proportional integral derivative controller. The type-2 fuzzy system is used to improve the classical sliding mode control efficiency and the robustness. The proposed (IT2FL-PID-SMC) can be used to reach strong stability as well as increase the variable speed wind turbine performance. The reliability and consistency of the proposed approach is assessed by completing simulations and analyzing comparisons with the classical SMC. The simulation results are clearly indicated the effectiveness and the validity of the proposed method, in terms of precision and time of convergence.

Suggested Citation

  • Zineb Lahlou & Khaddouj Ben Meziane & Ismail Boumhidi, 2019. "Sliding mode controller based on type-2 fuzzy logic PID for a variable speed wind turbine," 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 543-551, August.
    • Handle: RePEc:spr:ijsaem:v:10:y:2019:i:4:d:10.1007_s13198-019-00767-z
    DOI: 10.1007/s13198-019-00767-z
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    References listed on IDEAS

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    1. Ahmad Taher Azar, 2012. "Overview of Type-2 Fuzzy Logic Systems," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 2(4), pages 1-28, October.
    2. Boukhezzar, B. & Lupu, L. & Siguerdidjane, H. & Hand, M., 2007. "Multivariable control strategy for variable speed, variable pitch wind turbines," Renewable Energy, Elsevier, vol. 32(8), pages 1273-1287.
    3. Bououden, S. & Chadli, M. & Filali, S. & El Hajjaji, A., 2012. "Fuzzy model based multivariable predictive control of a variable speed wind turbine: LMI approach," Renewable Energy, Elsevier, vol. 37(1), pages 434-439.
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    Cited by:

    1. Garima Goswami & Pankaj Kumar Goswami, 2021. "A design analysis and implementation of PI, PID and fuzzy supervised shunt APF at nonlinear load application to improve power quality and system reliability," 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. 12(6), pages 1247-1261, December.
    2. Abdelmalek Ouannou & Adil Brouri & Laila Kadi & Hafid Oubouaddi, 2022. "Identification of switched reluctance machine using fuzzy model," 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. 13(6), pages 2833-2846, December.
    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. 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.
    5. 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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