Prediction Method of Driving Strategy of High-Power IGBT Module Based on MEA-BP Neural Network

Prediction Method of Driving Strategy of High-Power IGBT Module Based on MEA-BP Neural Network

An insulated gate bipolar transistor (IGBT) driver is crucial for improving the reliability of a power electronics system. This paper proposes a method for predicting the optimal driving strategy of high-power IGBT module based on backpropagation neural network optimized by the mind evolutionary alg...

Full description

Bibliographic Details
Main Authors: Zhaoliang Meng, Yuan Yang, Yong Gao, Shengsheng Ai, Yue Zhang, Yaru Lv, Zetao Zhang, Yang Wen, Lei Wu, Ping Zhang, John Douglas Thomson
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
IGBT module
active gate driver
MEA-BP neural network
driving strategy optimization
data-driven method
Online Access:https://ieeexplore.ieee.org/document/9096315/

Internet

https://ieeexplore.ieee.org/document/9096315/

Similar Items