PWM-Based Speed and Position Estimations for Permanent Magnet Synchronous Machines

A PWM-based rotor position and speed estimator is presented in this study. The method is based on the measurement of the current response to conventional space vector pulse width-modulated voltage (SV-PWM) for PMSM drive applications. Model reference adaptive system (MRAS) estimators are often used for sensorless speed estimation. A MRAS typically uses two models: the reference model (voltage model) and the adaptive model (current model). The voltage model in flux-based MRAS uses the integration of stator voltages to calculate the stator flux. The pure integrator is usually replaced by a low-pass filter; however, this results in phase errors at low frequencies. The position is estimated using oversampling and averaging over a switching SV-PWM cycle, eliminating the need for integrators. Extensive experimental tests are presented to evaluate the performance of the PWM-based estimator. The results of the experiments demonstrate good performance at various speeds and under various load circumstances, in both motoring and regenerating modes. The proposed method also shows robustness to changes in motor parameters.

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Publication Details

Journal
Applied Sciences
Published
2025-09-09
DOI
https://doi.org/10.3390/app15189859
Citations
1
Primary Topic
Sensorless Control of Electric Motors
Type
article
Field-Weighted Citation Impact
0.73
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article

PWM-Based Speed and Position Estimations for Permanent Magnet Synchronous Machines

Antonio Griffo, Saleh B. Shlimet
1 citations
Applied Sciences
Sensorless Control of Electric Motors
0.73
article

PWM-Based Speed and Position Estimations for Permanent Magnet Synchronous Machines

Antonio Griffo, Saleh B. Shlimet
article en
1 citations

Abstract

A PWM-based rotor position and speed estimator is presented in this study. The method is based on the measurement of the current response to conventional space vector pulse width-modulated voltage (SV-PWM) for PMSM drive applications. Model reference adaptive system (MRAS) estimators are often used for sensorless speed estimation. A MRAS typically uses two models: the reference model (voltage model) and the adaptive model (current model). The voltage model in flux-based MRAS uses the integration of stator voltages to calculate the stator flux. The pure integrator is usually replaced by a low-pass filter; however, this results in phase errors at low frequencies. The position is estimated using oversampling and averaging over a switching SV-PWM cycle, eliminating the need for integrators. Extensive experimental tests are presented to evaluate the performance of the PWM-based estimator. The results of the experiments demonstrate good performance at various speeds and under various load circumstances, in both motoring and regenerating modes. The proposed method also shows robustness to changes in motor parameters.

Applied SciencesVol. 15(18)
University of Sheffield (GB)
Openalex Percentile: Top 24%
Sensorless Control of Electric Motors
0.73
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PWM-Based Speed and Position Estimations for Permanent Magnet Synchronous Machines — Antonio Griffo, Saleh B. Shlimet · Applied Sciences (2025) | TGRS Research Map | TGRS