ANN-Based Space Vector PWM Modulation for Permanent-Magnet Synchronous Motors

This paper proposes an artificial neural network (ANN)-based space vector PWM (SVPWM) inverter controller for permanent-magnet synchronous motors (PMSM). Traditional SVPWM control methods involve complex computations and exhibit poor robustness to motor parameter variations and load disturbances, ma...

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Bibliographic Details

Published in:	International Conference on Power Electronics and Drive Systems (Online) pp. 1 - 5
Main Authors:	Huang, Zhen, Gong, Jiawei, Wang, Chao, Wang, Weiping, Jia, Shaofeng, Huang, Kunjie, Xia, Yonghong
Format:	Conference Proceeding
Language:	English
Published:	IEEE 21.07.2025
Subjects:	Aerospace electronics Artificial neural networks Backpropagation algorithms Bayes methods Computational efficiency Motors Robustness Space vector pulse width modulation Synchronous motors Vectors
ISSN:	2164-5264
Online Access:	Get full text
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