Unscented Kalman filter Sensorless Permament Magnet Synchronous Motor Model Predictive Control

Dariusz Janiszewski

doi:10.20944/preprints202311.1907.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

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)

The paper deals with the Model Predictive Control (MPC) algorithm as applied to the 1 sensorless control of a Permanent Magnet Synchronous Motor (PMSM). The proposed estimation 2 strategy, based on the unscented Kalman filter (UKF), uses only the measurement of the motor current 3 for the online estimation of speed, rotor position and load torque. Information about the system 4 state feeds the MPC. Results verify the effectiveness and applicability of the proposed sensorless 5 control technique. An implementation in low speed direct drive astronomy telescope mount systems 6 is investigated.

motion control; Automatic control; Predictive control; Sensorless control; Kalman filters; Unscented Kalman filter; System modelling

Engineering, Control and Systems Engineering

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Unscented Kalman filter Sensorless Permament Magnet Synchronous Motor Model Predictive Control

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