Magnetic Model Identification of Wound Rotor Synchronous Machine Using a Novel Flux Estimator

Haghgooei, Peyman; Jamshidpour, Ehsan; Takorabet, Noureddine; Khaburi, Davood Arab; Nahid‐Mobarakeh, Babak

doi:10.1109/tia.2021.3086052

Cited by 10 publications

(1 citation statement)

References 35 publications

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“…This method uses a sliding mode observer to estimate the stator currents, and assuming the estimated current error is close to zero, a first-order low-pass filter is used to estimate the stator resistance. However, this method may not be precise when the initial resistance error is large [22].…”

Section: Introductionmentioning

confidence: 99%

A Parameter-Free Method for Estimating the Stator Resistance of a Wound Rotor Synchronous Machine

Haghgooei

Jamshidpour

Corne

et al. 2023

WEVJ

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This paper presents a new online method based on low frequency signal injection to estimate the stator resistance of a Wound Rotor Synchronous Machine (WRSM). The proposed estimator provides a parameter-free method for estimating the stator resistance, in which there is no need to know the values of the parameters of the machine model, such as the stator and rotor inductances or the rotor flux linkage. In this method, a low frequency sinusoidal current is injected in the d axis of the stator current to produce a sinusoidal flux in the stator. In this paper, it is shown that the phase difference between the generated sinusoidal flux and the injected sinusoidal current is related to the stator resistance mismatch. Using this phase difference, the stator resistance is estimated. To validate the proposed model-free estimator, simulations were performed with Matlab Simulink and the results were compared with the extended Kalman filter observer. Finally, experimental tests, under different conditions, were performed to estimate the stator resistance of a WRSM.

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Section: Introductionmentioning

confidence: 99%