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

Eliomar R. Conde Duque, Angelo Lunardi, Juan S. Solís-Chaves, Tiago dos S. Paiva, Darlan A. Fernandes and Alfeu J. Sguarezi Filho
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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

Energies, 2022, vol. 15, issue 11, 1-17

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.

Keywords: double-fed induction generator; power control; predictive control; renewable energy; repetitive control; wind energy systems (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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