Article
Version 2
Preserved in Portico This version is not peer-reviewed
Unscented Kalman Filter Sensorless Permament Magnet Synchronous Motor Model Predictive Control
Version 1
: Received: 27 November 2023 / Approved: 28 November 2023 / Online: 30 November 2023 (07:27:18 CET)
Version 2 : Received: 17 December 2023 / Approved: 18 December 2023 / Online: 18 December 2023 (11:03:29 CET)
Version 2 : Received: 17 December 2023 / Approved: 18 December 2023 / Online: 18 December 2023 (11:03:29 CET)
How to cite: Janiszewski, D. Unscented Kalman Filter Sensorless Permament Magnet Synchronous Motor Model Predictive Control. Preprints 2023, 2023111907. https://doi.org/10.20944/preprints202311.1907.v2 Janiszewski, D. Unscented Kalman Filter Sensorless Permament Magnet Synchronous Motor Model Predictive Control. Preprints 2023, 2023111907. https://doi.org/10.20944/preprints202311.1907.v2
Abstract
The paper deals with the Model Predictive Control (MPC) algorithm as applied to the sensorless control of a Permanent Magnet Synchronous Motor (PMSM). The proposed estimation strategy, based on the unscented Kalman filter (UKF), uses only the measurement of the motor current for the online estimation of speed, rotor position and load torque. Information about the system state feeds the MPC. Results verify the effectiveness and applicability of the proposed sensorless control technique. An implementation in low speed direct drive astronomy telescope mount systems is investigated.
Keywords
motion control; Automatic control; Predictive control; Sensorless control; Kalman filters; Unscented Kalman filter; System modelling
Subject
Engineering, Control and Systems Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Commenter: Dariusz Janiszewski
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