Sliding mode control with three-level rotor-side converters in DFIG-based wind energy systems: Comparison study
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Abstract
This study examines a variable-speed wind energy conversion system based on a doubly-fed induction generator (DFIG). The rotor is regulated using power electronic converters, whereas the stator is directly connected to the grid. A comprehensive mathematical model is developed to support the control design process. The main objective is to investigate the effectiveness of sliding mode control (SMC) when applied to the DFIG. In particular, the performance of SMC is evaluated using both two-level and three-level rotor-side converters. The results indicate that the combination of SMC and three-level converter topology reduces current ripple and harmonic distortion, while enhancing the dynamic response compared to the two-level case. Furthermore, a comprehensive comparison between SMC and conventional PI control strategies is conducted. The results highlight the superior accuracy and performance of SMC, demonstrating excellent tracking of setpoints for various system variables. This is further confirmed by its robustness to machine parameter variations and its precise regulation of both active and reactive stator powers.
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Beltran, B., Benbouzid, M. E. H., & Ahmed-Ali, T. (2012). Second-order sliding mode control of a doubly fed induction generator driven wind turbine. IEEE Transactions on Energy Conversion, 27(2), 261–269. DOI: 10.1109/TEC.2011.2181515.
Desalegn, B., Gebeyehu, D., & Admasu, B. (2022). Evaluating the performances of PI controller (2DOF) under linear and nonlinear operations of DFIG-based WECS: A simulation study. Heliyon, 8, e11912. DOI: 10.1016/j.heliyon.2022.e11912.
Djeriri, Y., & Mesai Ahmed, H. (2019, March 4–5). Commande par mode glissant de la GADA associée à un convertisseur à trois niveaux de tension à structure NPC et entraînée par une turbine éolienne. In Proceedings of the First International Conference on Smart Grids (CIREI’2019). ENP-Oran, Algeria. Paper CIREI’2019_P077.
Echiheb, F., Ihedrane, Y., Bossoufi, B., Bouderbala, M., Motahhir, S., Masud, M., Aljahdali, S., & El Ghamrasni, M. (2022). Robust sliding-backstepping mode control of a wind system based on the DFIG generator. Scientific Reports, 12, 11782. https://doi.org/10.1038/s41598-022-15960-7.
Feng, T., Chen, C., Li, J., Zhang, H., & Wang, K. (2020). Research on the modeling method of NPC three-phase three-level inverter. 2020 Chinese Automation Congress (CAC), Shanghai, China, 3808–3813. doi: 10.1109/CAC51589.2020.9327443.
Hachemi, S. H., Allali, A., & Belkacem, B. (2020). Control of the power quality for a DFIG powered by multilevel inverters. International Journal of Electrical and Computer Engineering (IJECE), 10(5), 4592–4603. http://doi.org/10.11591/ijece.v10i5.pp4592-4603.
Jemmali, A., Elleuch, K., Abid, H., & Toumi, A. (2023). Comparative study between PI and SMC controllers for DFIG using fuzzy wind power estimator. International Journal of Power Electronics and Drive Systems (IJPEDS), 14(3), 1748–1758. https://doi.org/10.11591/ijpeds.v14.i3.
Kelkoul, B., & Boumediene, A. (2021). Stability analysis and study between classical sliding mode control (SMC) and super twisting algorithm (STA) for doubly fed induction generator (DFIG) under wind turbine. Energy, 214, 118871. https://doi.org/10.1016/J.ENERGY.2020.118871.
Mansouri, F. Z., Bendjebbar, M., & Mazari, B. (2020). Sliding mode performance control applied to a DFIG system for wind energy production. International Journal of Electrical and Computer Engineering (IJECE), 10(6), 6139–6152. DOI: 10.11591/ijece.v10i6.pp6139-6152.
Massoum, S., Meroufel, A., Massoum, A., & Wira, P. (2017). A direct power control of the doubly-fed induction generator based on the SVM strategy. Elektrotehniški Vestnik [Journal of Electrical Engineering and Computer Science], 84(5), 235–240. (hal-03642277).
Mohd Zaihidee, F., Mekhilef, S., & Mubin, M. (2019). Robust speed control of PMSM using sliding mode control (SMC): A review. Energies, 12, 1669. https://doi.org/10.3390/en12091669.
Pourmirzaei Deylami, F., & Darabi, A. (2023). Steady-state performance analysis for optimal operation determination of doubly fed induction motors. Journal of Engineering, 1-13, e12220. https://doi.org/10.1049/tje2.12220.
Riaz, M., Yasin, A. R., Uppal, A. A., & Yasin, A. (2021). A novel dynamic integral sliding mode control for power electronic converters. Science Progress, 104(4). DOI: 10.1177/00368504211044848.
Sobhy, A., Elfar, M. H., Refaat, A., & Fawzi, M. (2025). Performance evaluation of an optimized simplified nonlinear active disturbance rejection controller for rotor current control of DFIG-based wind energy system. Cleaner Engineering and Technology, 24, 100896. DOI:10.1016/j.clet.2025.100896.
Thota, K., Velpula, S., & Basetti, V. (2025). A scientometric analysis on DFIG-based wind energy conversion system research trends. Discover Applied Sciences, 7, 7. https://doi.org/10.1007/s42452-024-06373-4.
Torres, J. F., & Petrakopoulou, F. (2022). A closer look at the environmental impact of solar and wind energy. Global Challenges, 6, 2200016. https://doi.org/10.1002/gch2.202200016.
Yessef, M., Bossoufi, B., Taoussi, M., Lagrioui, A., & Chojaa, H. (2022). Overview of control strategies for wind turbines: ANNC, FLC, SMC, BSC, and PI controllers. Wind Engineering, 46(6), 1820–1837. https://doi.org/10.1177/0309524X221109512.