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

Autor:	Eliomar R. Conde Duque, Angelo Lunardi, Juan S. Solís-Chaves, Tiago dos S. Paiva, Darlan A. Fernandes, Alfeu J. Sguarezi Filho
Jazyk:	angličtina
Rok vydání:	2022
Předmět:	double-fed induction generator power control predictive control renewable energy repetitive control wind energy systems Technology
Zdroj:	Energies, Vol 15, Iss 11, p 4114 (2022)
Druh dokumentu:	article
ISSN:	1996-1073
DOI:	10.3390/en15114114
Popis:	This paper shows an increase in the robustness of a DFIG-based wind energy system when a predictive-repetitive controller in the dq 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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/fd720848cd514fc9aabf445f63e77ad8 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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