Sliding-mode MRAS speed estimator for Sensorless Vector Control of Double Stator Induction Motor

  • Houari Khouidmi Associate professor
  • Ahmed Benzouaoui Assistant Professor
  • Boubaker Bessedik Assistant Professor
Keywords: Double Stator Induction Motor, Direct Field Oriented Control, Model Reference Adaptive System, Sliding Mode Control, Sensorless Control


The weakness of the Direct Vector Control (DVC) is lack of an estimation of the flux amplitude and the rotor position with high accuracy. These quantities are sensitive to parameter variations; it is important to use a robust estimation system for estimating the rotor flux with respect to parametric uncertainties. In this paper the sliding mode speed sensorless vector control based on the Model Reference Adaptive System (MRAS) of double stator induction motor is presented. First, the models of the double stator induction motor and the DVC are proposed. Second, the MRAS technique of the DSIM (Double Stator Induction Motor) is adopted. In order to ensure a robust sensorless control, the sliding mode technique for the estimation system was used. The results showed the presented estimator has a positive effect on the system behavior especially in changing the reference and/or the parameters variation.

Author Biographies

Houari Khouidmi, Associate professor
Department of Electrical Engineering
Ahmed Benzouaoui, Assistant Professor
Department of Electrical Engineering at HBC of Chlef
Boubaker Bessedik, Assistant Professor
Department of Electrical Engineering at HBU of Chlef


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How to Cite
Khouidmi, H., Benzouaoui, A., & Bessedik, B. (2018). Sliding-mode MRAS speed estimator for Sensorless Vector Control of Double Stator Induction Motor. Majlesi Journal of Electrical Engineering, 12(3). Retrieved from