Research on Position Sensorless Control of PMaSynRM for Parameter Identification Considering Magnetic Saturation and Cross-Coupling

Permanent magnet auxiliary synchronous motor (PMaSynRM), as a new type motor, has been used in various power transmission applications. However, due to effect of the magnetic saturation and cross-coupling, for position sensorless control, the change of parameters leads to inaccurate of motor speed and position. This paper proposed a position sensorless control of motor parameter identification considering magnetic saturation and cross-coupling. Using hysteresis control by applying pulse voltage to dq axis separately and simultaneously, then calculate the flux linkage by integrating. Sampling the current and flux linkage, the parameters of magnetic model are calculated by the least square method, and the inductance and flux linkage model are obtained. Finally, it is applied to sensorless control of multi-signal-flux-observer. The accuracy and feasibility of the motor parameters identification results and sensorless control is verified by simulation.

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Publication Details

Published
2025-08-15
DOI
https://doi.org/10.1109/sled63792.2025.11154673
Primary Topic
Fungal and yeast genetics research
Type
article
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article

Research on Position Sensorless Control of PMaSynRM for Parameter Identification Considering Magnetic Saturation and Cross-Coupling

Fungal and yeast genetics research
article

Research on Position Sensorless Control of PMaSynRM for Parameter Identification Considering Magnetic Saturation and Cross-Coupling

article en

Abstract

Permanent magnet auxiliary synchronous motor (PMaSynRM), as a new type motor, has been used in various power transmission applications. However, due to effect of the magnetic saturation and cross-coupling, for position sensorless control, the change of parameters leads to inaccurate of motor speed and position. This paper proposed a position sensorless control of motor parameter identification considering magnetic saturation and cross-coupling. Using hysteresis control by applying pulse voltage to dq axis separately and simultaneously, then calculate the flux linkage by integrating. Sampling the current and flux linkage, the parameters of magnetic model are calculated by the least square method, and the inductance and flux linkage model are obtained. Finally, it is applied to sensorless control of multi-signal-flux-observer. The accuracy and feasibility of the motor parameters identification results and sensorless control is verified by simulation.

University of Nottingham (GB), North China Electric Power University (CN), Primary Source (US), Xi'an University of Technology (CN)
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Fungal and yeast genetics research
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