Enhancing the backstepping control approach competencies for wind turbine systems using a dual star induction generator
Abstract 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 approa...
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Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-97771-0 |
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| author | Abdessmad Milles Elkheir Merabet Habib Benbouhenni Ilhami Colak Noureddine Bensedira Naamane Debdouche Mohammed-Salah Aggoune Ghoulemallah Boukhalfa |
| author_facet | Abdessmad Milles Elkheir Merabet Habib Benbouhenni Ilhami Colak Noureddine Bensedira Naamane Debdouche Mohammed-Salah Aggoune Ghoulemallah Boukhalfa |
| author_sort | Abdessmad Milles |
| collection | DOAJ |
| description | Abstract 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 energy system. The ALO approach enhances the robustness of the DSIG, enabling faster dynamic responses, greater accuracy, and consistently improved effectiveness. The fitness function of the ALO approach integrates both integral time absolute error and integral time squared error criteria, ensuring the fulfillment of effectiveness objectives. The performance of the BC-ALO approach is validated through MATLAB. The results of the tests show that the new approach reduces total harmonic distortion, minimizes stator energy fluctuations, and improves dynamic efficiency compared to the BC approach. Additionally, the method can handle uncertainties in model parameters, making it versatile and practical. Simulation results show that the BC-ALO method reduces the total harmonic distortion value compared to the BC method by percentages estimated at 29.45%, 50.44%, and 43.10% in all tests. Also, this approach improves the overshoot value of DSIG power compared to the traditional BC strategy by an estimated 100% in all tests. The proposed approach improves the response time value of the reactive power compared to the conventional BC strategy by percentages estimated at 97.65%, 97.78%, and 95.23% in all tests. The DC link voltage ripples are low if the proposed approach is used, with ratios estimated at 63.31%, 71.38%, and 71.89% in all tests. These results make the proposed approach interesting in other applications such as photovoltaic systems. |
| format | Article |
| id | doaj-art-9094b228e75d41ee8474a94a1fcf7a2a |
| institution | DOAJ |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-9094b228e75d41ee8474a94a1fcf7a2a2025-08-20T03:18:53ZengNature PortfolioScientific Reports2045-23222025-04-0115113010.1038/s41598-025-97771-0Enhancing the backstepping control approach competencies for wind turbine systems using a dual star induction generatorAbdessmad Milles0Elkheir Merabet1Habib Benbouhenni2Ilhami Colak3Noureddine Bensedira4Naamane Debdouche5Mohammed-Salah Aggoune6Ghoulemallah Boukhalfa7Laboratory of Materials Physics, Radiation and Nanostructures (LPMRN), Faculty of Technology, University of Bordj Bou ArreridjLaboratory of Materials Physics, Radiation and Nanostructures (LPMRN), Faculty of Technology, University of Bordj Bou ArreridjLaboratoire LAAS, Department of Electrical Engineering, Ecole Nationale Polytechnique d’OranDepartment of Electrical and Electronics Engineering, Istinye UniversityUniversity of Batna 2Brothers Mentouri UniversityUniversity of Batna 2University of Batna 2Abstract 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 energy system. The ALO approach enhances the robustness of the DSIG, enabling faster dynamic responses, greater accuracy, and consistently improved effectiveness. The fitness function of the ALO approach integrates both integral time absolute error and integral time squared error criteria, ensuring the fulfillment of effectiveness objectives. The performance of the BC-ALO approach is validated through MATLAB. The results of the tests show that the new approach reduces total harmonic distortion, minimizes stator energy fluctuations, and improves dynamic efficiency compared to the BC approach. Additionally, the method can handle uncertainties in model parameters, making it versatile and practical. Simulation results show that the BC-ALO method reduces the total harmonic distortion value compared to the BC method by percentages estimated at 29.45%, 50.44%, and 43.10% in all tests. Also, this approach improves the overshoot value of DSIG power compared to the traditional BC strategy by an estimated 100% in all tests. The proposed approach improves the response time value of the reactive power compared to the conventional BC strategy by percentages estimated at 97.65%, 97.78%, and 95.23% in all tests. The DC link voltage ripples are low if the proposed approach is used, with ratios estimated at 63.31%, 71.38%, and 71.89% in all tests. These results make the proposed approach interesting in other applications such as photovoltaic systems.https://doi.org/10.1038/s41598-025-97771-0Dual-star induction generatorIntegral time squared errorBackstepping controlAnt lion optimizationIntegral time absolute error |
| spellingShingle | Abdessmad Milles Elkheir Merabet Habib Benbouhenni Ilhami Colak Noureddine Bensedira Naamane Debdouche Mohammed-Salah Aggoune Ghoulemallah Boukhalfa Enhancing the backstepping control approach competencies for wind turbine systems using a dual star induction generator Scientific Reports Dual-star induction generator Integral time squared error Backstepping control Ant lion optimization Integral time absolute error |
| title | Enhancing the backstepping control approach competencies for wind turbine systems using a dual star induction generator |
| title_full | Enhancing the backstepping control approach competencies for wind turbine systems using a dual star induction generator |
| title_fullStr | Enhancing the backstepping control approach competencies for wind turbine systems using a dual star induction generator |
| title_full_unstemmed | Enhancing the backstepping control approach competencies for wind turbine systems using a dual star induction generator |
| title_short | Enhancing the backstepping control approach competencies for wind turbine systems using a dual star induction generator |
| title_sort | enhancing the backstepping control approach competencies for wind turbine systems using a dual star induction generator |
| topic | Dual-star induction generator Integral time squared error Backstepping control Ant lion optimization Integral time absolute error |
| url | https://doi.org/10.1038/s41598-025-97771-0 |
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