Real-Time HIL Emulation of DRM With Machine Learning Accelerated WBG Device Models

Real-Time HIL Emulation of DRM With Machine Learning Accelerated WBG Device Models

The proliferation of artificial intelligence (AI) has opened up new avenues for the modeling of power electronics with ultra-fast transient responses, such as wide-bandgap (WBG) devices. This article highlights the significance of ultra-fast transient device-level hardware emulation for the DC railw...

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Bibliographic Details
Main Authors: Songyang Zhang, Tian Liang, Venkata Dinavahi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Open Journal of Power Electronics
Subjects:
Artificial intelligence (AI)
DC railway microgrid (DRM)
field-programmable gate arrays (FPGAs)
gallium nitride (GaN)
gated recurrent units (GRU)
hardware-in-the-loop (HIL)
Online Access:https://ieeexplore.ieee.org/document/10188915/

Internet

https://ieeexplore.ieee.org/document/10188915/

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