High-Frequency Modeling of Delta- and Star-Connected Induction Motors

Karakasli, Vefa; Gross, Fabian; Braun, Tristan; Gersem, Herbert De; Griepentrog, Gerd

doi:10.1109/temc.2022.3181337

Cited by 10 publications

(7 citation statements)

References 27 publications

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“…Z CM defines the impedance encountered by a signal when traversing through all three phases in relation to the ground, as illustrated in figure 2(c). The motor's Z CM varies with its connection configuration of star (Y) or delta (∆) [31]. Z DM , illustrated in figure 2(d), refers to the impedance a signal encounters when moving between one phase and the other two phases.…”

Section: Induction Motor and Its Impedancesmentioning

confidence: 99%

Enhancing motor impedance measurements: broadening the spectrum from low to high frequencies

Jie,

See,

Chang

et al. 2024

Meas. Sci. Technol.

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Three-phase induction motors serve as critical parts in various industrial applications, lauded for their high energy efficiency and notable power density. Obtaining their broadband impedance information is paramount for analyzing conducted emissions, evaluating overvoltage ringing, and assessing motor health status. Nonetheless, conventional methods for motor impedance measurements typically rely on Kelvin clip leads or extension cables, which are effective only in a relatively low-frequency region (i.e., below 1 MHz). This paper presents an improved approach to extend the measurable spectrum from low to high frequencies, up to 120 MHz. The proposed method develops a series of fixture adapters to enable seamless interconnection between the terminals of an induction motor and the coaxial ports of an impedance analyzer. The parasitics introduced by these adapters are identified using boundary-element analysis, and their impacts are minimized based on the de-embedding concept. Experimental results affirm the accuracy and effectiveness of the proposed method for four types of motor impedances (i.e., single-phase, phase-to-ground, common-mode, and differential-mode) across a broad frequency range from 100 Hz to 120 MHz. Moreover, the inaccuracy of motor impedance measurements at high frequencies (i.e., above 1 MHz) using conventional methods, including Kelvin clip leads and extension cables, is also demonstrated.

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Section: Induction Motor and Its Impedancesmentioning

confidence: 99%

Enhancing motor impedance measurements: broadening the spectrum from low to high frequencies

Jie,

See,

Chang

et al. 2024

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…The per-phase symmetry property of the proposed model enables it to be applicable for both star and delta connections without having to recalculate the circuit element values when changing the motor connection from star to delta, and vice versa [24] . Fig.…”

Section: Physics Informed Neural Network-based Hf Modeling Of Inducti...mentioning

confidence: 99%

“…Although there are some other models valid up to 30 MHz, they are often validated only for star-connected induction motors [20,22] . Because high-precision models in a wider frequency range require more circuit elements, traditional parameterization based on analytical methods is difficult and complex [24] . Some studies have simplified the parametrization process using genetic algorithms [25] or the Monte Carlo algorithm [26] ; however, they have only been validated with star-connected induction motors.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the per-phase circuit structure is revised to be symmetric with respect to its phase start and phase-end points. This symmetry enables the proposed model to be applicable to both star-and delta-connected induction motors without having to recalculate the circuit element values when changing the motor connection from star to delta and vice versa [24] . Motor physics knowledge, namely, per-phase impedances, are used in the artificial neural network to obtain the values of the circuit elements.…”

Section: Introductionmentioning

confidence: 99%

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Physics Informed Neural Network-based High-frequency Modeling of Induction Motors

Fan

Sun

Jie

et al. 2022

Chin. J. Electr. Eng.

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The high-frequency (HF) modeling of induction motors plays a key role in predicting the motor terminal overvoltage and conducted emissions in a motor drive system. In this study, a physics informed neural network-based HF modeling method, which has the merits of high accuracy, good versatility, and simple parameterization, is proposed. The proposed model of the induction motor consists of a three-phase equivalent circuit with eighteen circuit elements per phase to ensure model accuracy. The per phase circuit structure is symmetric concerning its phase-start and phase-end points. This symmetry enables the proposed model to be applicable for both star-and delta-connected induction motors without having to recalculate the circuit element values when changing the motor connection from star to delta and vice versa. Motor physics knowledge, namely per-phase impedances, are used in the artificial neural network to obtain the values of the circuit elements. The parameterization can be easily implemented within a few minutes using a common personal computer (PC). Case studies verify the effectiveness of the proposed HF modeling method.

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“…Several techniques have recently been used to various machine kinds. A three-phase high-frequency (HF) induction motor type with six ports coupled in a delta and star, for instance, was proposed by Karakali Vefa et al [16]. To simulate and anticipate radiation emissions, Joomin Park et al develop a high frequency model for the stator winding of a BLDC motor [17].…”

mentioning

confidence: 99%

High-frequency Differential Mode Modeling of Universal Motor's Windings

Bermaki,

Miloudi,

Miloudi

et al. 2023

IJEER

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The universal motor is a rotating electrical machine that can operate on either direct current or single-phase alternating current, similar to a DC motor. It has been widely used in various small and inexpensive drives for a long time, mostly in home appliances and hand tools. The noise generated by a universal motor is believed to be closely associated with the electromagnetic torque fluctuations of the machine, which are caused by variations in the current supplied to the motor. The power electronics utilized for controlling the motor's speed are responsible for these current changes. Accurate high-frequency motor models are crucial for reliable electromagnetic interference simulations in motor drive power electronic systems. Research efforts have expanded to explore different realistic configurations that can be used to investigate the electromagnetic compatibility behavior of electrical machines. This study describes a method for predicting the differential mode impedance of universal motor. The behavior of each motor winding has been individually studied through impedance measurements, starting with the armature, followed by the series winding, and finally the inductive compensating winding. The prediction results over a wide frequency range up to 1 MHz are in good agreement with the measurements and enabled us to propose a model circuit for each motor winding.

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High-Frequency Modeling of Delta- and Star-Connected Induction Motors

Cited by 10 publications

References 27 publications

Enhancing motor impedance measurements: broadening the spectrum from low to high frequencies

Enhancing motor impedance measurements: broadening the spectrum from low to high frequencies

Physics Informed Neural Network-based High-frequency Modeling of Induction Motors

High-frequency Differential Mode Modeling of Universal Motor's Windings

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