Sequence Prediction for SiC MOSFET Active Gate Driving With a Recurrent Neural Network

Sequence Prediction for SiC MOSFET Active Gate Driving With a Recurrent Neural Network

This article develops a recurrent neural network (RNN) with an encoder–decoder structure to predict the driving sequence of SiC MOSFET active gate drivers (AGDs). With a set of switching targets as the input, the predictor generates an optimal active gate driving sequence to improve the s...

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Bibliographic Details
Main Authors: Li Yang, Yuxuan Liu, Wensong Yu, Iqbal Husain
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Journal of Industry Applications
Subjects:
Active gate driver (AGD)
deep learning
recurrent neural network (RNN)
sequence prediction
SiC MOSFET
Online Access:https://ieeexplore.ieee.org/document/10171405/

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