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Robust sliding-Backstepping mode control of a wind system based on the DFIG generator

This paper presents a new contribution in the field of the optimization of the techniques of control of the wind systems and the improvement of the quality of energy produced in the grid. The Sliding Mode control technique gives quite interesting results, but its major drawback lies in the phenomeno...

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Autores principales: Echiheb, Farah, Ihedrane, Yasmine, Bossoufi, Badre, Bouderbala, Manale, Motahhir, Saad, Masud, Mehedi, Aljahdali, Sultan, ElGhamrasni, Madiha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276821/
https://www.ncbi.nlm.nih.gov/pubmed/35821271
http://dx.doi.org/10.1038/s41598-022-15960-7
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author Echiheb, Farah
Ihedrane, Yasmine
Bossoufi, Badre
Bouderbala, Manale
Motahhir, Saad
Masud, Mehedi
Aljahdali, Sultan
ElGhamrasni, Madiha
author_facet Echiheb, Farah
Ihedrane, Yasmine
Bossoufi, Badre
Bouderbala, Manale
Motahhir, Saad
Masud, Mehedi
Aljahdali, Sultan
ElGhamrasni, Madiha
author_sort Echiheb, Farah
collection PubMed
description This paper presents a new contribution in the field of the optimization of the techniques of control of the wind systems and the improvement of the quality of energy produced in the grid. The Sliding Mode control technique gives quite interesting results, but its major drawback lies in the phenomenon of chattering (oscillations), which reduces the system's precision. We propose in this work a solution to cancel this chattering phenomenon by the implication of the adaptive Backstepping technique to control the powers of the double-fed asynchronous generator (DFIG) connected to the electrical network by two converters (network side and side machine) in the nominal part of the sliding mode model. This hybrid technique will correct errors of precision and stability and the performance of the wind system obtained in terms of efficiency, active and reactive power is significant. First, a review of the wind system was presented. Then, an exhaustive explanation of the Backstepping technique based on the Lyapunov stability and optimization method has been reported. Subsequently, a validation on the Matlab & Simulink environment was carried out to test the performance and robustness of the proposed model. The results obtained from this work, either by follow-up or robustness tests, show a significant performance improvement compared to other control techniques.
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spelling pubmed-92768212022-07-14 Robust sliding-Backstepping mode control of a wind system based on the DFIG generator Echiheb, Farah Ihedrane, Yasmine Bossoufi, Badre Bouderbala, Manale Motahhir, Saad Masud, Mehedi Aljahdali, Sultan ElGhamrasni, Madiha Sci Rep Article This paper presents a new contribution in the field of the optimization of the techniques of control of the wind systems and the improvement of the quality of energy produced in the grid. The Sliding Mode control technique gives quite interesting results, but its major drawback lies in the phenomenon of chattering (oscillations), which reduces the system's precision. We propose in this work a solution to cancel this chattering phenomenon by the implication of the adaptive Backstepping technique to control the powers of the double-fed asynchronous generator (DFIG) connected to the electrical network by two converters (network side and side machine) in the nominal part of the sliding mode model. This hybrid technique will correct errors of precision and stability and the performance of the wind system obtained in terms of efficiency, active and reactive power is significant. First, a review of the wind system was presented. Then, an exhaustive explanation of the Backstepping technique based on the Lyapunov stability and optimization method has been reported. Subsequently, a validation on the Matlab & Simulink environment was carried out to test the performance and robustness of the proposed model. The results obtained from this work, either by follow-up or robustness tests, show a significant performance improvement compared to other control techniques. Nature Publishing Group UK 2022-07-12 /pmc/articles/PMC9276821/ /pubmed/35821271 http://dx.doi.org/10.1038/s41598-022-15960-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Echiheb, Farah
Ihedrane, Yasmine
Bossoufi, Badre
Bouderbala, Manale
Motahhir, Saad
Masud, Mehedi
Aljahdali, Sultan
ElGhamrasni, Madiha
Robust sliding-Backstepping mode control of a wind system based on the DFIG generator
title Robust sliding-Backstepping mode control of a wind system based on the DFIG generator
title_full Robust sliding-Backstepping mode control of a wind system based on the DFIG generator
title_fullStr Robust sliding-Backstepping mode control of a wind system based on the DFIG generator
title_full_unstemmed Robust sliding-Backstepping mode control of a wind system based on the DFIG generator
title_short Robust sliding-Backstepping mode control of a wind system based on the DFIG generator
title_sort robust sliding-backstepping mode control of a wind system based on the dfig generator
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276821/
https://www.ncbi.nlm.nih.gov/pubmed/35821271
http://dx.doi.org/10.1038/s41598-022-15960-7
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