Benjamin Cheong
Integrated motor drive design for weight optimization
Cheong, Benjamin; Giangrande, Paolo; Galea, Michael; Zanchetta, Pericle; Wheeler, Patrick
Authors
Paolo Giangrande
Michael Galea
PERICLE ZANCHETTA pericle.zanchetta@nottingham.ac.uk
Professor of Control Engineering
PATRICK WHEELER pat.wheeler@nottingham.ac.uk
Professor of Power Electronic Systems
Abstract
The More-Electric Aircraft (MEA) concept has been introduced as part of the process of reducing the environmental impact of air travel. Incorporating more electrical systems including motor drives has become increasingly attractive researched. High power density across the complete system is a key factor in the realization of this technology. This paper considers a motor drive sizing procedure with a focus on optimizing the main weight contributors which are identified as the electrical machine, grid input filters and converter cooling system. A multi-level integrated optimization method is then proposed, followed by an example of its application incorporating the sizing procedure above. Comparison of results between single-level optimizations and multi-level optimizations are then presented. Finally, this paper presents the software validation of the sizing functions performed using different multi-physics software.
Citation
Cheong, B., Giangrande, P., Galea, M., Zanchetta, P., & Wheeler, P. (2017). Integrated motor drive design for weight optimization. In 2017 IEEE Energy Conversion Congress and Exposition (ECCE) (816-823). https://doi.org/10.1109/ECCE.2017.8095869
Conference Name | 2017 IEEE Energy Conversion Congress and Exposition (ECCE) |
---|---|
Conference Location | Cincinnati, Ohio, USA |
Start Date | Oct 1, 2017 |
End Date | Oct 5, 2017 |
Acceptance Date | Oct 1, 2017 |
Online Publication Date | Nov 7, 2017 |
Publication Date | Nov 7, 2017 |
Deposit Date | Dec 10, 2018 |
Publicly Available Date | Dec 10, 2018 |
Pages | 816-823 |
Book Title | 2017 IEEE Energy Conversion Congress and Exposition (ECCE) |
ISBN | 978-1-5090-2999-0 |
DOI | https://doi.org/10.1109/ECCE.2017.8095869 |
Public URL | https://nottingham-repository.worktribe.com/output/1215587 |
Publisher URL | https://ieeexplore.ieee.org/document/8095869 |
Additional Information | © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
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