Experimental Identification of a Coupled-Circuit Model for the Digital Twin of a Wound-Rotor Induction Machine

Fatma Zohra Aboubi, Abdrahamane Maïga, Jérôme Cros () and Innocent Kamwa
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Fatma Zohra Aboubi: Laboratory of Electrical Engineering, Power Electronics and Industrial Control (LEEPEIC), Department of Electrical and Computer Engineering, Laval University, 1065 Avenue de la Médecine, Quebec, QC G1V 0A6, Canada
Abdrahamane Maïga: Laboratory of Electrical Engineering, Power Electronics and Industrial Control (LEEPEIC), Department of Electrical and Computer Engineering, Laval University, 1065 Avenue de la Médecine, Quebec, QC G1V 0A6, Canada
Jérôme Cros: Laboratory of Electrical Engineering, Power Electronics and Industrial Control (LEEPEIC), Department of Electrical and Computer Engineering, Laval University, 1065 Avenue de la Médecine, Quebec, QC G1V 0A6, Canada
Innocent Kamwa: Laboratory of Electrical Engineering, Power Electronics and Industrial Control (LEEPEIC), Department of Electrical and Computer Engineering, Laval University, 1065 Avenue de la Médecine, Quebec, QC G1V 0A6, Canada

Energies, 2024, vol. 17, issue 8, 1-25

Abstract: The development of monitoring and diagnostic methods for electrical machines requires the use of transient models capable of operating in real time and producing signal signatures with high precision. In this context, coupled-circuit models offer numerous advantages due to their speed of execution and accuracy. They have been successfully employed to create real-time digital twins of electrical machines. The main challenge of this modeling method lies in the preparation of the model, which involves numerous preliminary calculations and takes time to identify all its parameters. This is particularly due to the variation in inductances based on the rotor position. To determine these inductance values with great precision, the classical approach involves using finite-element field calculation software. However, the computation time quickly becomes an issue due to the large number of values to calculate and simulations to perform. This article introduces an innovative experimental approach to identify a coupled-circuit model and develop a digital twin of a wound-rotor induction machine. This method relies solely on simple electrical measurements and tests conducted at extremely low rotation speeds (1 rpm) to obtain inductance variations as a function of the rotor position. By employing this technique, the need for analytical models or finite-element field calculation simulations, which typically require precise knowledge of the machine’s geometry and materials, is circumvented. The measurement processing employs optimization methods to extract the inductances as a function of the rotor position, which are then used as input data for the coupled-circuit model. The final parameters are specific to each machine and replicate all its manufacturing imperfections such as eccentricity and geometric or winding defects. This experimental identification method significantly enhances the model’s accuracy and reduces the usually required preliminary calculation time in a finite-element-based identification process.

Keywords: electrical machines; identification; coupled-circuit model; field calculation; digital twin (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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