Accuracy of Online Estimation Methods of Stator Resistance and Rotor Flux Linkage in PMSMs

Online parameter estimation algorithms of electrical motors are widely employed to achieve robust and high-performance control as well as condition monitoring and fault diagnosis. This article proposes an error analysis to compare the performance of four different online estimation methods of the stator resistance and rotor flux linkage in nonsalient permanent magnet synchronous motors (PMSMs). Starting from the dq-axis steady-state model of the PMSM, including the voltage source inverter (VSI) nonlinearity and the presence of measurement errors, a formulation of the estimation errors is outlined. A probabilistic analysis is then proposed to determine the expected values and the percentile ranges of the estimation errors on the basis of the previously introduced formulations. The theoretical predictions have been verified with an extensive experimental test campaign carried out on an instrumented test rig in multiple operating conditions (OCs) of two different motors. The experimentally validated results show that the considered parameter estimation methods exhibit different performances depending on the motor speed and torque levels. No parameter estimation technique performs notably better than any other under all OCs. As a consequence, the proposed analysis constitutes a useful tool to select the most appropriate estimation method.

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Publication Details

Journal
IEEE Journal of Emerging and Selected Topics in Power Electronics
Published
2024-09-03
DOI
https://doi.org/10.1109/jestpe.2024.3453949
Citations
7
Primary Topic
Electric Motor Design and Analysis
Type
article
Field-Weighted Citation Impact
1.46
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article

Accuracy of Online Estimation Methods of Stator Resistance and Rotor Flux Linkage in PMSMs

Giuseppe Leonardo Cascella, Elia Brescia, Francesco Cupertino, Mauro Di Nardo et al.
7 citations
IEEE Journal of Emerging and Selected Topics in Power Electronics
Electric Motor Design and Analysis
1.46
article

Accuracy of Online Estimation Methods of Stator Resistance and Rotor Flux Linkage in PMSMs

Giuseppe Leonardo Cascella, Elia Brescia, Francesco Cupertino, Mauro Di Nardo, Luigi Pio Savastio
article en
7 citations

Abstract

Online parameter estimation algorithms of electrical motors are widely employed to achieve robust and high-performance control as well as condition monitoring and fault diagnosis. This article proposes an error analysis to compare the performance of four different online estimation methods of the stator resistance and rotor flux linkage in nonsalient permanent magnet synchronous motors (PMSMs). Starting from the dq-axis steady-state model of the PMSM, including the voltage source inverter (VSI) nonlinearity and the presence of measurement errors, a formulation of the estimation errors is outlined. A probabilistic analysis is then proposed to determine the expected values and the percentile ranges of the estimation errors on the basis of the previously introduced formulations. The theoretical predictions have been verified with an extensive experimental test campaign carried out on an instrumented test rig in multiple operating conditions (OCs) of two different motors. The experimentally validated results show that the considered parameter estimation methods exhibit different performances depending on the motor speed and torque levels. No parameter estimation technique performs notably better than any other under all OCs. As a consequence, the proposed analysis constitutes a useful tool to select the most appropriate estimation method.

IEEE Journal of Emerging and Selected Topics in Power ElectronicsVol. 12(5)
Polytechnic University of Bari (IT)
Affordable and clean energy
Openalex Percentile: Top 18%
Electric Motor Design and Analysis
1.46
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