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Improvement of sensorless control of induction motor by voltage source inverter nonlinearities compensation and extended Kalman filter

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Abstract

In induction motors (IM) sensorless control, the speed is estimated using the measured currents and reference voltages instead of the measured ones. At a standstill and low speeds, the voltage source inverter (VSI) nonlinearities become significant and comparable with the reference voltages. These nonlinearities give rise to significant errors between reference and measured voltages at low speeds and standstill, which negatively affect the quality of sensorless control at low speeds and standstill. Based on the extended Kalman filter (EKF) observer, this paper presents a sensorless control of IM considering the VSI nonlinearities. The same EKF is used to simultaneously estimate rotor speed and VSI nonlinearities, which are injected into the control of the IM to ensure online compensation of VSI nonlinearities. The experimental results obtained by the dSPACE system and ControlDesk software show the effectiveness of the EKF with VSI nonlinearities compensation at low speeds and standstill compared with the classic EKF.

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Authors and Affiliations

  1. System Engineering and Applications Laboratory, Cadi Ayyad University, Marrakech, Morocco

    Lamyae Et-taaj, Zakaria Boulghasoul, Abdellah El Kharki & Abdelhadi Elbacha

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  1. Lamyae Et-taaj
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  2. Zakaria Boulghasoul
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  3. Abdellah El Kharki
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  4. Abdelhadi Elbacha
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Correspondence to Lamyae Et-taaj.

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Et-taaj, L., Boulghasoul, Z., El Kharki, A. et al. Improvement of sensorless control of induction motor by voltage source inverter nonlinearities compensation and extended Kalman filter. Electr Eng 104, 3509–3521 (2022). https://doi.org/10.1007/s00202-022-01560-1

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  • DOI: https://doi.org/10.1007/s00202-022-01560-1

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