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Dspace DS1104 implementation of a robust nonlinear controller applied for DFIG driven by wind turbine

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  • Mensou, Sara
  • Essadki, Ahmed
  • Nasser, Tamou
  • Idrissi, Badre Bououlid
  • Ben Tarla, Lahssan

Abstract

This research paper deals whit the control of a doubly fed induction generator (DFIG) driven in rotation by wind turbine, the objective of this work is to control the electromagnetic torque of the generator and have a specified reactive stator power generated whatever perturbations, the MPPT method was used to extract the maximum of the power for different wind speed variations. To control the system studied we have used the Nonlinear Backstepping Controller with Lyapunov function, the robustness of our controller is tested in terms of reference tracking under perturbed conditions (generator parameters variations and voltage dips). All were implemented on dSPACE DS1104 Controller card Real-Time Interface (RTI), which runs in Simulink/MATLAB environment and ControlDesk 4.2 graphical interfaces. Hardware simulation results show and validate the performances and robustness of our controller.

Suggested Citation

  • Mensou, Sara & Essadki, Ahmed & Nasser, Tamou & Idrissi, Badre Bououlid & Ben Tarla, Lahssan, 2020. "Dspace DS1104 implementation of a robust nonlinear controller applied for DFIG driven by wind turbine," Renewable Energy, Elsevier, vol. 147(P1), pages 1759-1771.
    • Handle: RePEc:eee:renene:v:147:y:2020:i:p1:p:1759-1771
    DOI: 10.1016/j.renene.2019.09.042
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    References listed on IDEAS

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    1. Debouza, Mahdi & Al-Durra, Ahmed & Errouissi, Rachid & Muyeen, S.M., 2018. "Direct power control for grid-connected doubly fed induction generator using disturbance observer based control," Renewable Energy, Elsevier, vol. 125(C), pages 365-372.
    2. Zaragoza, Jordi & Pou, Josep & Arias, Antoni & Spiteri, Cyril & Robles, Eider & Ceballos, Salvador, 2011. "Study and experimental verification of control tuning strategies in a variable speed wind energy conversion system," Renewable Energy, Elsevier, vol. 36(5), pages 1421-1430.
    3. Boutoubat, M. & Mokrani, L. & Machmoum, M., 2013. "Control of a wind energy conversion system equipped by a DFIG for active power generation and power quality improvement," Renewable Energy, Elsevier, vol. 50(C), pages 378-386.
    4. Bossoufi, Badre & Karim, Mohammed & Lagrioui, Ahmed & Taoussi, Mohammed & Derouich, Aziz, 2015. "Observer backstepping control of DFIG-Generators for wind turbines variable-speed: FPGA-based implementation," Renewable Energy, Elsevier, vol. 81(C), pages 903-917.
    5. Ghedamsi, K. & Aouzellag, D. & Berkouk, E.M., 2008. "Control of wind generator associated to a flywheel energy storage system," Renewable Energy, Elsevier, vol. 33(9), pages 2145-2156.
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    Cited by:

    1. Manale Bouderbala & Hala Alami Aroussi & Badre Bossoufi & Mohammed Karim, 2023. "Real-Time Power Control of Doubly Fed Induction Generator Using Dspace Hardware," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    2. Zouheyr, Dekali & Lotfi, Baghli & Abdelmadjid, Boumediene, 2021. "Improved hardware implementation of a TSR based MPPT algorithm for a low cost connected wind turbine emulator under unbalanced wind speeds," Energy, Elsevier, vol. 232(C).
    3. Agha Kashkooli, M.R. & Jovanović, Milutin G., 2021. "Sensorless adaptive control of brushless doubly-fed reluctance generators for wind power applications," Renewable Energy, Elsevier, vol. 177(C), pages 932-941.
    4. Dali, Ali & Abdelmalek, Samir & Bakdi, Azzeddine & Bettayeb, Maamar, 2021. "A new robust control scheme: Application for MPP tracking of a PMSG-based variable-speed wind turbine," Renewable Energy, Elsevier, vol. 172(C), pages 1021-1034.

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