Integrated design of motor drives using random heuristic optimization for aerospace applications

Cheong, Benjamin and Giangrande, Paolo and Galea, Michael and 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.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Schools/Departments: University of Nottingham, UK > Faculty of Engineering > Department of Electrical and Electronic Engineering
Depositing User: Burns, Rebecca
Date Deposited: 15 Nov 2017 12:56
Last Modified: 15 Nov 2017 14:54
URI: http://eprints.nottingham.ac.uk/id/eprint/48084

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