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

• المؤلفون الرئيسيون: Gao, Yuan, Cheong, Benjamin, Bozhko, Serhiy, Wheeler, Pat, Gerada, Chris, Yang, Tao
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Electrical and electronic engineering; Artificial Neural Network; Design and Optimization
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/170761

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...