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Convergence analysis of back-EMF MRAS observers used in sensorless control of induction motor drives

Author

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  • Bensiali, N.
  • Etien, E.
  • Benalia, N.

Abstract

This paper seeks to analyse stability and dynamics of back EMF MRAS based approach used in sensorless control of induction motors. Stability analysis is investigated to show unstable zones and it is explored using a state representation. A new rotor speed estimator is designed to achieve the stability in the various operating modes except for the inobservability line.

Suggested Citation

  • Bensiali, N. & Etien, E. & Benalia, N., 2015. "Convergence analysis of back-EMF MRAS observers used in sensorless control of induction motor drives," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 115(C), pages 12-23.
    • Handle: RePEc:eee:matcom:v:115:y:2015:i:c:p:12-23
    DOI: 10.1016/j.matcom.2015.04.002
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    References listed on IDEAS

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    1. Beguenane, Rachid & Ouhrouche, Mohand A. & Trzynadlowski, Andrzej M., 2006. "A new scheme for sensorless induction motor control drives operating in low speed region," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 71(2), pages 109-120.
    2. De Belie, Frederik M. & Sergeant, Peter & Melkebeek, Jan A., 2010. "A sensorless PMSM drive using modified high-frequency test pulse sequences for the purpose of a discrete-time current controller with fixed sampling frequency," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(2), pages 367-381.
    3. Orlowska-Kowalska, T. & Tarchala, G. & Dybkowski, M., 2014. "Sliding-mode direct torque control and sliding-mode observer with a magnetizing reactance estimator for the field-weakening of the induction motor drive," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 98(C), pages 31-45.
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    Cited by:

    1. Aman A. Tanvir & Adel Merabet, 2020. "Artificial Neural Network and Kalman Filter for Estimation and Control in Standalone Induction Generator Wind Energy DC Microgrid," Energies, MDPI, vol. 13(7), pages 1-16, April.
    2. Gabriel Bout & Diego Brito & René Gómez & Gonzalo Carvajal & Guillermo Ramírez, 2022. "Physics-Based Observers for Measurement-While-Drilling System in Down-the-Hole Drills," Mathematics, MDPI, vol. 10(24), pages 1-18, December.

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