DocumentCode
159370
Title
A novel multi-level electro-mechanical actuator virtual testing and analysis tool
Author
Giangrande, P. ; Hill, Christopher Ian ; Bozhko, Serhiy V. ; Gerada, C.
Author_Institution
Univ. of Nottingham, Nottingham, UK
fYear
2014
fDate
8-10 April 2014
Firstpage
1
Lastpage
6
Abstract
The electrification of the modern aircraft and helicopters, by means of the adoption of electromechanical actuators (EMAs), represents a step in the direction of a more energy efficient transportation system. Simulation tools capable of analyzing EMAs performance and exploring different design configurations facilitate such a process. In this context, a virtual testing and analysis tool for EMAs, developed within the framework of the European project Actuation 2015, is presented. The proposed tool addresses the electric drives components (i.e. permanent magnet machines and power converters) and has been implemented using Modelica, as modelling language, and Dymola, as simulation environment. In order to minimize the models complexity, a multi-level approach has been adopted. In this paper, an overview of the physical effects considered at each model level is provided, together with the analysis of an EMA study case. The presented simulation results confirm the effectiveness of the proposed virtual testing and analysis tool.
Keywords
electric machine analysis computing; electric vehicles; electromechanical actuators; helicopters; permanent magnet machines; power convertors; Dymola simulation; Modelica modelling language; aircraft electrification; analysis tool; energy efficient transportation system; helicopters; multilevel electromechanical actuator virtual testing; permanent magnet machines; power converter modelling; simulation tools; Dymola platform; Electromechanical actuators; Multi-level modelling; Permanent magnet machines and power converters modelling;
fLanguage
English
Publisher
iet
Conference_Titel
Power Electronics, Machines and Drives (PEMD 2014), 7th IET International Conference on
Conference_Location
Manchester
Electronic_ISBN
978-1-84919-815-8
Type
conf
DOI
10.1049/cp.2014.0360
Filename
6837028
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