Surrogate role of machine learning in motor-drive optimization for more-electric aircraft applications

Surrogate role of machine learning in motor-drive optimization for more-electric aircraft applications

Motor drives form an essential part of the electric compressors, pumps, braking and actuation systems in the More-Electric Aircraft (MEA). In this paper, the application of Machine Learning (ML) in motor-drive design and optimization process is investigated. The general idea of using ML is to train...

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Bibliographic Details
Main Authors: Gao, Yuan, Cheong, Benjamin, Bozhko, Serhiy, Wheeler, Pat, Gerada, Chris, Yang, Tao
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Electrical and electronic engineering
Artificial Neural Network
Design and Optimization
Online Access:https://hdl.handle.net/10356/170761

Internet

https://hdl.handle.net/10356/170761

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