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

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.

Full text not available from this repository.

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)
RIS ID: https://nottingham-repository.worktribe.com/output/881528
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: 04 May 2020 19:05
URI: https://eprints.nottingham.ac.uk/id/eprint/48084

Actions (Archive Staff Only)

Edit View Edit View