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Improvement of Robustness of MPC Adding Repetitive Behavior for the DFIG Current Control

Author

Listed:
  • Eliomar R. Conde Duque

    (The Engineering, Modeling and Applied Social Sciences Center (CECS), Federal University of ABC, Santo André 09210-580, SP, Brazil)

  • Angelo Lunardi

    (The Engineering, Modeling and Applied Social Sciences Center (CECS), Federal University of ABC, Santo André 09210-580, SP, Brazil)

  • Juan S. Solís-Chaves

    (Mechatronic Engineering Department, ECCI University, Cl. 51 # 19-12, Bogotá 110231, Colombia)

  • Tiago dos S. Paiva

    (Department of Electrical Engineering, Federal University of Paraíba, João Pessoa 58051-900, PB, Brazil)

  • Darlan A. Fernandes

    (Department of Electrical Engineering, Federal University of Paraíba, João Pessoa 58051-900, PB, Brazil)

  • Alfeu J. Sguarezi Filho

    (The Engineering, Modeling and Applied Social Sciences Center (CECS), Federal University of ABC, Santo André 09210-580, SP, Brazil)

Abstract

This paper shows an increase in the robustness of a DFIG-based wind energy system when a predictive-repetitive controller in the d q reference frame is used for the control of the rotor current. This designing approach proposes a model predictive control with a receding horizon technique that uses the frequency decomposition of the reference signal as a filter. Furthermore, an augmented space-state model from the original plant model is obtained, and its implementation is addressed from the perspective of normal operating conditions of DFIG in wind energy systems. Additionally, this repetitive controller increases the robustness of the predictive control when a mismatch in machine parameters is considered. Experimental results presented in this paper endorse the advantages of this controller.

Suggested Citation

  • Eliomar R. Conde Duque & Angelo Lunardi & Juan S. Solís-Chaves & Tiago dos S. Paiva & Darlan A. Fernandes & Alfeu J. Sguarezi Filho, 2022. "Improvement of Robustness of MPC Adding Repetitive Behavior for the DFIG Current Control," Energies, MDPI, vol. 15(11), pages 1-17, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:11:p:4114-:d:831045
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