State Estimation MRAS and Identification of Stator Winding Phase Fault Detection of the PMSG in Wind Energy Based on the Sliding Mode Control Cover

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State Estimation MRAS and Identification of Stator Winding Phase Fault Detection of the PMSG in Wind Energy Based on the Sliding Mode Control

Power Electronics and Drives

Volume 8 (2023): Issue 1 (January 2023)

By: Samir Bouslimani, Samir Meradi , Said Drid, Larbi Chrifi-Alaoui and Ali Bezziane

Open Access

|Apr 2023

Authors

Samir Bouslimani

Higher National School of Renewable Energy, Environment and Sustainable Development, LSPIE Laboratory, Batna, Algeria

Samir Meradi

samir.meradi@enst.dz

Laboratory of Innovative Technologies, COSI Team, ENST, Algiers, Algeria

Said Drid

Higher National School of Renewable Energy, Environment and Sustainable Development, LSPIE Laboratory, Batna, Algeria

Larbi Chrifi-Alaoui

Laboratory LTI, University of Picardie Jules Verne, Cuffies, Soissons, France

Ali Bezziane

Higher National School of Renewable Energy, Environment and Sustainable Development, LSPIE Laboratory, Batna, Algeria

DOI: https://doi.org/10.2478/pead-2023-0009 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262

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Language: English

Page range: 109 - 127

Submitted on: Feb 3, 2023

Accepted on: Mar 18, 2023

Published on: Apr 11, 2023

Published by: Wroclaw University of Science and Technology

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

synchronous generators component,

MRAS algorithm,

stator inter-turn short-circuit fault,

fault diagnosis

Related subjects:

Computer sciences,

Artificial intelligence,

Electrical engineering,

© 2023 Samir Bouslimani, Samir Meradi, Said Drid, Larbi Chrifi-Alaoui, Ali Bezziane, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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