IbI logics optimization algorithm-based high-order sliding mode control for DSIG within a wind turbine system
Applying advanced control strategies with optimal parameters tuning is challenging for ensuring good tracking performance and stable operation of the dual-stator induction generator-based wind turbine (WT-DSIG) systems. To this end, the present paper proposes an innovative tuning method using an inc...
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Elsevier
2025-03-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025000040 |
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| author | Khaled Benzaoui Abderrahmen Bouguerra Samir Zeghlache Ahmed Elsanabary Saad Mekhilef Ahmed Bendib Houssam eddine Ghadbane Hegazy Rezk |
| author_facet | Khaled Benzaoui Abderrahmen Bouguerra Samir Zeghlache Ahmed Elsanabary Saad Mekhilef Ahmed Bendib Houssam eddine Ghadbane Hegazy Rezk |
| author_sort | Khaled Benzaoui |
| collection | DOAJ |
| description | Applying advanced control strategies with optimal parameters tuning is challenging for ensuring good tracking performance and stable operation of the dual-stator induction generator-based wind turbine (WT-DSIG) systems. To this end, the present paper proposes an innovative tuning method using an incomprehensible but intelligent-in-time logic algorithm (ILA) to ensure optimal HOSMC controller parameters tuning. The optimally tuned HOSMC controller-based FOC scheme is applied to control a WT-DSIG system. This research offers a simple and effective method for optimal tuning of the control parameters, improving the control performance, hence the WT-DSIG system's stability. The proposed method is superior to the existing techniques, as it uses the IbI, a metaheuristic stochastic algorithm, to optimize the gains of the flux, speed, and current HOSMC controllers simultaneously. The effectiveness of the proposed control approach is assessed based on a hardware-in-the-loop (HIL) implementation in a PLECS/RT Box real-time simulator. The HIL findings through comparative study further confirm the superiority of the optimally designed controllers over the conventional ones, highlighting significant enhancements in dynamic, steady-state, THD, and some other metrics. This research has practical implications for designing and operating WT-DSIG systems, offering a promising solution for improving their stability and performance. |
| format | Article |
| id | doaj-art-c8afc3ce6a5240c4a1b4063b529fb51d |
| institution | Kabale University |
| issn | 2590-1230 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-c8afc3ce6a5240c4a1b4063b529fb51d2025-01-26T05:04:45ZengElsevierResults in Engineering2590-12302025-03-0125103916IbI logics optimization algorithm-based high-order sliding mode control for DSIG within a wind turbine systemKhaled Benzaoui0Abderrahmen Bouguerra1Samir Zeghlache2Ahmed Elsanabary3Saad Mekhilef4Ahmed Bendib5Houssam eddine Ghadbane6Hegazy Rezk7Electrical Engineering Laboratory (LGE), Electrical Engineering Department, Faculty of Technology, University of M'sila, M'sila 28000, Algeria; Corresponding author.Electrical Engineering Laboratory (LGE), Electrical Engineering Department, Faculty of Technology, University of M'sila, M'sila 28000, AlgeriaSignals and Systems Analysis Laboratory (LASS), Electronics Department, Faculty of Technology, University of M'sila, M'sila 28000, AlgeriaDepartment of Electrical Engineering, Faculty of Engineering, Port Said University, Port Said 42526, EgyptSchool of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, 3122, VIC, AustraliaSET laboratory, Department of Electronics, University of Blida, Blida, AlgeriaLaboratoire de Génie Électrique de Guelma (LGEG), Département d'Electrotechnique et Automatique, Université 8 Mai 1945, Guelma 24000, AlgeriaDepartment of Electrical Engineering, College of Engineering in Wadi Alddawasir, Prince Sattam bin Abdulaziz University, Saudi ArabiaApplying advanced control strategies with optimal parameters tuning is challenging for ensuring good tracking performance and stable operation of the dual-stator induction generator-based wind turbine (WT-DSIG) systems. To this end, the present paper proposes an innovative tuning method using an incomprehensible but intelligent-in-time logic algorithm (ILA) to ensure optimal HOSMC controller parameters tuning. The optimally tuned HOSMC controller-based FOC scheme is applied to control a WT-DSIG system. This research offers a simple and effective method for optimal tuning of the control parameters, improving the control performance, hence the WT-DSIG system's stability. The proposed method is superior to the existing techniques, as it uses the IbI, a metaheuristic stochastic algorithm, to optimize the gains of the flux, speed, and current HOSMC controllers simultaneously. The effectiveness of the proposed control approach is assessed based on a hardware-in-the-loop (HIL) implementation in a PLECS/RT Box real-time simulator. The HIL findings through comparative study further confirm the superiority of the optimally designed controllers over the conventional ones, highlighting significant enhancements in dynamic, steady-state, THD, and some other metrics. This research has practical implications for designing and operating WT-DSIG systems, offering a promising solution for improving their stability and performance.http://www.sciencedirect.com/science/article/pii/S2590123025000040Wind turbineDual-stator induction generatorFlux-oriented controlSliding mode controlIncomprehensible but intelligent-in-time logic algorithmHigh-order sliding mode controller |
| spellingShingle | Khaled Benzaoui Abderrahmen Bouguerra Samir Zeghlache Ahmed Elsanabary Saad Mekhilef Ahmed Bendib Houssam eddine Ghadbane Hegazy Rezk IbI logics optimization algorithm-based high-order sliding mode control for DSIG within a wind turbine system Results in Engineering Wind turbine Dual-stator induction generator Flux-oriented control Sliding mode control Incomprehensible but intelligent-in-time logic algorithm High-order sliding mode controller |
| title | IbI logics optimization algorithm-based high-order sliding mode control for DSIG within a wind turbine system |
| title_full | IbI logics optimization algorithm-based high-order sliding mode control for DSIG within a wind turbine system |
| title_fullStr | IbI logics optimization algorithm-based high-order sliding mode control for DSIG within a wind turbine system |
| title_full_unstemmed | IbI logics optimization algorithm-based high-order sliding mode control for DSIG within a wind turbine system |
| title_short | IbI logics optimization algorithm-based high-order sliding mode control for DSIG within a wind turbine system |
| title_sort | ibi logics optimization algorithm based high order sliding mode control for dsig within a wind turbine system |
| topic | Wind turbine Dual-stator induction generator Flux-oriented control Sliding mode control Incomprehensible but intelligent-in-time logic algorithm High-order sliding mode controller |
| url | http://www.sciencedirect.com/science/article/pii/S2590123025000040 |
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