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Enhancing the backstepping control approach competencies for wind turbine systems using a dual star...

Enhancing the backstepping control approach competencies for wind turbine systems using a dual star...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9094b228e75d41ee8474a94a1fcf7a2a

Enhancing the backstepping control approach competencies for wind turbine systems using a dual star induction generator

About this item

Full title

Enhancing the backstepping control approach competencies for wind turbine systems using a dual star induction generator

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2025-04, Vol.15 (1), p.13383-30, Article 13383

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

The goal of this study is to present a novel and improved backstepping control (BC) technique for a dual-star induction generator (DSIG) powered by a wind turbine. This approach relies on the ant lion optimization (ALO), which is employed to determine the optimal parameters of the BC approach and improve the performance of the wind conversion energ...

Alternative Titles

Full title

Enhancing the backstepping control approach competencies for wind turbine systems using a dual star induction generator

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_9094b228e75d41ee8474a94a1fcf7a2a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9094b228e75d41ee8474a94a1fcf7a2a

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-025-97771-0

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