Loading...
Loading...

Go to the content (press return)

A deep learning-based modeling of a 270 V -to- 28 V DC-DC converter used in more electric aircrafts

Author
Rojas, G.; Riba, J.; Moreno-Eguilaz, J.M.
Type of activity
Journal article
Journal
IEEE transactions on power electronics
Date of publication
2021-07-21
Volume
37
Number
1
First page
509
Last page
518
DOI
10.1109/TPEL.2021.3098468
Repository
http://hdl.handle.net/2117/352786 Open in new window
URL
https://ieeexplore.ieee.org/document/9492829 Open in new window
Abstract
This paper presents a novel approach for black-box modelling of 270 V -to- 28 V DC-DC step-down converters used in more electric aircrafts (MEA). These converters normally feed constant power loads (CPL). The proposed deep learning approach, uses offline experimental data of the converter to find an accurate model that reproduces its behavior. It covers a broad range of loading conditions to build a model that replicates the whole behavior of the converter. This paper compares the performance of...
Citation
Rojas, G.; Riba, J.; Moreno-Eguilaz, J.M. A deep learning-based modeling of a 270 V -to- 28 V DC-DC converter used in more electric aircrafts. "IEEE transactions on power electronics", 21 Juliol 2021, vol. 37, núm. 1, p. 509-518.
Keywords
Black-box models, DC–DC power converters, Deep learning, Modeling, Neural networks, Simulation, Transient response
Group of research
MCIA - Motion Control and Industrial Applications Research Group
PERC-UPC - Power Electronics Research Centre

Participants