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Sensorless Vector Control of a Permanent-Magnet Synchronous Motor Based on an Extended Adaptive Kalman Filter

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Abstract

The application of an adaptive extended Kalman filter as an optimal observer for recovering electromechanical coordinates in the sensorless vector-control system of a permanent-magnet synchronous motor is considered. The mathematical description is represented as a discrete vector matrix model of a permanent-magnet synchronous motor in a rotating synchronous frame of rotor coordinates. An approach to synthesizing an extended adaptive Kalman filter by extended linearization and sequential recursive method is proposed. The modeling of the Kalman filter is conducted in MATLAB/Simulink for checking its functionality to estimate the angular velocity and position of the rotor in different working modes of the permanent-magnet synchronous motor.

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Authors and Affiliations

  1. St. Petersburg Electrotechnical University “LETI”, 197022, St. Petersburg, Russia

    M. P. Belov, A. M. Belov & Nguyen van Lanh

Authors
  1. M. P. Belov
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  2. A. M. Belov
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  3. Nguyen van Lanh
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Corresponding author

Correspondence to M. P. Belov.

Additional information

Translated by S. Kuznetsov

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Belov, M.P., Belov, A.M. & van Lanh, N. Sensorless Vector Control of a Permanent-Magnet Synchronous Motor Based on an Extended Adaptive Kalman Filter. Russ. Electr. Engin. 93, 148–154 (2022). https://doi.org/10.3103/S1068371222030026

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  • DOI: https://doi.org/10.3103/S1068371222030026

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