A SENSORLESS ADAPTIVE BACKSTEPPING SLIDING MODE CONTROL OF DOUBLE STAR INDUCTION MOTOR

Authors

  • CHAABANE HADJI LGE Research Laboratory, Université of M’sila, M’sila 28000, Algeria. Author
  • DJALAL EDDINE KHODJA LGE Research Laboratory, Université of M’sila, M’sila 28000, Algeria. Author

DOI:

https://doi.org/10.59277/RRST-EE.2026.3.1

Keywords:

Double-star induction motor, Adaptive backstepping sliding mode control, Parameter identification, Lyapunov stability

Abstract

A robust adaptive backstepping sliding mode controller (ABSMC) is proposed for the speed regulation of a double-star induction machine (DSIM). This controller handles unknown or rapidly changing parameters while ensuring Lyapunov-based stability. First, a motor drive system model with lumped uncertainty is developed. Then, a nonlinear robust speed controller using the ABSMC theory is presented. In this technique, we employed to guarantee the speed tracking and parameter perturbation suppression. The simulation results indicate that the proposed control scheme effectively compensates for parameter perturbations while maintaining speed-tracking precision.

References

(1) D. Hadiouche, H. Razik, and A. Rezzoug, “Study and simulation of space vector PWM control of double star induction motors,” 7th IEEE International Power Electronics Congress, Technical Proceedings, CIEP, pp. 42–47 (2000).

(2) B. Wei, Z. Zhang, and F. Xiao, “Adaptive backstepping-sliding mode control strategy for robust MPPT of floating offshore wind turbines,” Ocean Engineering, 342, 1, pp. 434–440 (2025).

(3) H. Chaabane, K. Djalal Eddine, and C. Salim, “Indirect self-tuning adaptive control of double-star induction machine by sliding mode,” Rev. Roum. Sci. Techn. – Électrotechn. et Énerg., 64, 4, pp. 409–415 (2019).

(4) R. Belal, “Réglage du régulateur de vitesse PI dans le contrôle direct du couple d'un moteur à induction à double étoile basé sur des algorithmes génétiques et des schémas neuro-fuzzy,” Rev. Roum. Sci. Techn. – Électrotechn. et Énerg., 69, 1, pp. 9–14 (2024).

(5) K. Aiffouzar and D. Tarak, “Field-oriented control of dual-star induction machine with energy quality based on fuzzy logic,” Rev. Roum. Sci. Techn. – Électrotechn. et Énerg., 70, 4, pp. 483–488 (2025).

(6) H. Amimeur, R. Abdessemed, D. Aouzellag, E. Merabet, and F. Hamoudi, “A sliding mode control associated with the field-oriented control of dual stator induction motor drives,” Revue des Energies Renouvelables, 11, 2, pp. 317–327 (2008).

(7) J. Narayan, M. Abbas, and S. Dwivedy, “Adaptive backstepping sliding mode subject-cooperative control for a pediatric lower-limb exoskeleton robot,” Transactions of the Institute of Measurement and Control, 47, 2, pp. 1–10 (2025).

(8) V. Utkin, Sliding modes in control optimization, Springer, New York, pp. 1–300 (1992).

(9) C. Lascu, I. Boldea, F. Blaabjerg, “Super twisting sliding mode control of torque and flux in permanent magnet synchronous machine drives,” IECON, 39th Annual Conference of the IEEE Industrial Electronics Society, Vienna, Austria, pp. 1–6 (2013).

(10) H. Abdelghafour and R. Riyadh, “Robust wind power control using sliding mode, backstepping, and fuzzy logic,” Rev. Roum. Sci. Techn. – Électrotechn. et Énerg., 70, 3, pp. 313–318 (2025).

(11) L. Sheng, G. Xiaojie, and Z. Lanyong, “Robust adaptive backstepping sliding mode control for six-phase permanent magnet synchronous motor using recurrent wavelet fuzzy neural network,” IEEE Access, 5, 1, pp. 14502–14515 (2017).

(12) M. Kubatko, D. Bielesz, and S. Kirschner, “Sensorless direct field-oriented control of induction motor drive using artificial neural network-based reactive power MRAS,” Sensors MDPI Journal, 25, 23, article 7135 (2025).

(13) H. Chaabane and D. Khodja, “Sensorless backstepping control using an extended Kalman filter for double star induction motor,” Advances in Communication Technology, Computing and Engineering, pp. 702–717 (2021).

(14) V. Tiwari, S. Das, and A. Pal, “Sensorless speed control of induction motor drive using extended Kalman filter observer,” IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), pp. 1–6 (2017).

(15) Y. Xiong and M. Saif, “Sliding mode observer for nonlinear uncertain systems,” IEEE Transactions on Automatic Control, 46, 12, pp. 2012–2017 (2001).

(16) H. Chaabane, D. Khodja, and S. Chakroune, “Sensorless backstepping control using a Luenberger observer for double star induction motor,” Archives of Electrical Engineering, 69, 1, pp. 101–116 (2020).

(17) Y. Zhang, Z. Zhao, T. Lu, L. Yuan, and W. Xu, “A comparative study of Luenberger observer, sliding mode observer, and extended Kalman filter for sensorless vector control of induction motor drives,” IEEE Energy Conversion Congress and Exposition, pp. 1–6 (2009).

(18) K. Aiffouzar and D. Tarak, “Field-oriented control of dual-star induction machine with energy quality based on fuzzy logic,” Rev. Roum. Sci. Techn. – Électrotechn. et Énerg., 70, 4, pp. 483–488 (2025).

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Published

07.09.2026

Issue

Section

Électrotechnique et électroénergétique | Electrical and Power Engineering

How to Cite

A SENSORLESS ADAPTIVE BACKSTEPPING SLIDING MODE CONTROL OF DOUBLE STAR INDUCTION MOTOR. (2026). REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE, 71(3), 343-348. https://doi.org/10.59277/RRST-EE.2026.3.1