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 st...

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Bibliographic Details
Published in:IEEE journal of emerging and selected topics in power electronics 2024-10, Vol.12 (5), p.4941-4955
Main Authors: Brescia, Elia, Pio Savastio, Luigi, Di Nardo, Mauro, Leonardo Cascella, Giuseppe, Cupertino, Francesco
Format: Article
Language:English
Subjects:
Algorithms
Condition monitoring
Couplings
Error analysis
Estimation error
Fault diagnosis
Monte Carlo simulation
Motors
online parameter estimation
Parameter estimation
Parameter robustness
permanent magnet
Permanent magnets
Probabilistic analysis
rank deficiency
Resistance
Robust control
Rotors
Stators
Steady state models
synchronous machines
Synchronous motors
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Summary: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.
ISSN:2168-6777
2168-6785
DOI:10.1109/JESTPE.2024.3453949