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

Cheong, Benjamin; Giangrande, Paolo; Galea, Michael; Zanchetta, Pericle; Wheeler, Patrick

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.

Citation

Cheong, B., Giangrande, P., Galea, M., Zanchetta, P., & Wheeler, P. Integrated design of motor drives using random heuristic optimization for aerospace applications. Presented at SAE AeroTech Congress and Exhibition, AEROTECH 2017

• Conference Name: SAE AeroTech Congress and Exhibition, AEROTECH 2017
• End Date: Sep 28, 2017
• Acceptance Date: Jul 18, 2017
• Publication Date: Sep 9, 2017
• Deposit Date: Nov 15, 2017
• Publicly Available Date: Nov 15, 2017
• Peer Reviewed: Peer Reviewed
• Public URL: https://nottingham-repository.worktribe.com/output/881528
• Publisher URL: http://papers.sae.org/2017-01-2030/
• Contract Date: Nov 15, 2017