High-Frequency Modeling of Star-Connected Induction Motors Using
This letter presents an easy-to-use accurate high-frequency (HF)
behavioral model of star-connected induction motors with a simple and
straightforward parameterization process for conducted electromagnetic
interference (EMI) analysis. The HF model contains nine circuit elements
per phase with a simple structure. These circuit elements are determined
using a multilayer perceptron (MLP) neural network, where only the
individual phase-to-frame impedance is needed for training purposes.
Compared with parameterization methods in conventional motor modeling,
the MLP significantly simplifies the parameterization process. Using two
different induction motors (1.5 hp and 7.5 hp) as case studies,
experiments verify the capability and accuracy of the HF model to
predict the motor common-mode (CM) and differential-mode (DM) impedances
in the HF range of 150 kHz to 30 MHz.