Physics informed neural network-based high-frequency modeling of induction motors

• Main Authors: Zhao, Zhenyu, Fan, Fei, Sun, Quqin, Jie, Huamin, Shu, Zhou, Wang, Wensong, See, Kye Yak
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Electrical and electronic engineering; Equivalent Circuit; Induction Motor
• Online Access: https://hdl.handle.net/10356/171868
• Institution: Nanyang Technological University

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...