Integrated design of motor drives using random heuristic optimization for aerospace applications
High power density for aerospace motor drives is a key factor in the successful realization of the More Electric Aircraft (MEA) concept. An integrated system design approach offers optimization opportunities, which could lead to further improvements in power density. However this requires multi-disc...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Published: |
2017
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| Online Access: | https://eprints.nottingham.ac.uk/48084/ |
| _version_ | 1848797687195893760 |
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| author | Cheong, Benjamin Giangrande, Paolo Galea, Michael Zanchetta, Pericle Wheeler, Patrick |
| author_facet | Cheong, Benjamin Giangrande, Paolo Galea, Michael Zanchetta, Pericle Wheeler, Patrick |
| author_sort | Cheong, Benjamin |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | High power density for aerospace motor drives is a key factor in the successful realization of the More Electric Aircraft (MEA) concept. An integrated system design approach offers optimization opportunities, which could lead to further improvements in power density. However this requires multi-disciplinary modelling and the handling of a complex optimization problem that is discrete and non¬linear in nature. This paper proposes a multi-level approach towards applying random heuristic optimization to the integrated motor design problem. Integrated optimizations are performed independently and sequentially at different levels assigned according to the 4-level modelling paradigm for electric systems. This paper also details a motor drive sizing procedure, which poses as the optimization problem to solve here. Finally, results comparing the proposed multi-level approach with a more traditional single-level approach is presented for a 2.5 kW actuator motor drive design. The multi-level approach is found to be more computationally efficient than its counterpart. |
| first_indexed | 2025-11-14T20:07:50Z |
| format | Conference or Workshop Item |
| id | nottingham-48084 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:07:50Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-480842020-05-04T19:05:15Z https://eprints.nottingham.ac.uk/48084/ Integrated design of motor drives using random heuristic optimization for aerospace applications Cheong, Benjamin Giangrande, Paolo Galea, Michael Zanchetta, Pericle Wheeler, Patrick High power density for aerospace motor drives is a key factor in the successful realization of the More Electric Aircraft (MEA) concept. An integrated system design approach offers optimization opportunities, which could lead to further improvements in power density. However this requires multi-disciplinary modelling and the handling of a complex optimization problem that is discrete and non¬linear in nature. This paper proposes a multi-level approach towards applying random heuristic optimization to the integrated motor design problem. Integrated optimizations are performed independently and sequentially at different levels assigned according to the 4-level modelling paradigm for electric systems. This paper also details a motor drive sizing procedure, which poses as the optimization problem to solve here. Finally, results comparing the proposed multi-level approach with a more traditional single-level approach is presented for a 2.5 kW actuator motor drive design. The multi-level approach is found to be more computationally efficient than its counterpart. 2017-09-09 Conference or Workshop Item PeerReviewed Cheong, Benjamin, Giangrande, Paolo, Galea, Michael, Zanchetta, Pericle and Wheeler, Patrick (2017) Integrated design of motor drives using random heuristic optimization for aerospace applications. In: SAE AeroTech Congress and Exhibition, AEROTECH 2017, 26-28 September 2017, Fort Worth, Texas, USA. http://papers.sae.org/2017-01-2030/ |
| spellingShingle | Cheong, Benjamin Giangrande, Paolo Galea, Michael Zanchetta, Pericle Wheeler, Patrick Integrated design of motor drives using random heuristic optimization for aerospace applications |
| title | Integrated design of motor drives using random heuristic optimization for aerospace applications |
| title_full | Integrated design of motor drives using random heuristic optimization for aerospace applications |
| title_fullStr | Integrated design of motor drives using random heuristic optimization for aerospace applications |
| title_full_unstemmed | Integrated design of motor drives using random heuristic optimization for aerospace applications |
| title_short | Integrated design of motor drives using random heuristic optimization for aerospace applications |
| title_sort | integrated design of motor drives using random heuristic optimization for aerospace applications |
| url | https://eprints.nottingham.ac.uk/48084/ https://eprints.nottingham.ac.uk/48084/ |