Integrated Design of Motor Drives Using Random Heuristic Optimization for Aerospace Applications University of Nottingham

Format:

Conference/Event

Author/Creator:

Cheong, Cheong, author.

Contributor:

Galea, Michael

Giangrande, Paolo

Wheeler, Patrick

Zanchetta, Pericle

Conference Name:

Aerospace Technology Conference & Exposition (2017-09-26 : Fort Worth, Texas, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2017

Summary:

AbstractHigh 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 nonlinear 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

Notes:

Vendor supplied data

Publisher Number:

2017-01-2030

Access Restriction:

Restricted for use by site license