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Uncertainty Quantification for a Permanent Magnet Synchronous Machine with Dynamic Rotor Eccentricity

Bontinck, Zeger ; Lass, Oliver ; De Gersem, Herbert ; Schöps, Sebastian
Quintela, Peregrina ; Barral, Patricia ; Gómez, Dolores ; Pena, Francisco J. ; Rodríguez, Jerónimo ; Salgado, Pilar ; Vázquez-Mendéz, Miguel E. (eds.) :

Uncertainty Quantification for a Permanent Magnet Synchronous Machine with Dynamic Rotor Eccentricity.
[Online-Edition: http://www.springer.com/de/book/9783319234120]
In: Progress in Industrial Mathematics at ECMI 2016. The European Consortium for Mathematics in Industry. Springer, Berlin Berlin ISBN 978-3-319-63081-6
[Buchkapitel], (2017)

Offizielle URL: http://www.springer.com/de/book/9783319234120

Kurzbeschreibung (Abstract)

The behaviour of electrical machines is accurately predicted by finite element simulations. During the design phase, parameter studies and optimization steps are carried out but rarely sensitivities are analysed. However, manufacturing imperfections and uncertain operating conditions are unavoidable. The quantification of their impact on the machine parameters and operation performance can help to increase the robustness of the machine. Accordingly, methods for sensitivity analysis are getting more and more attention. In this research a 6-pole permanent magnetic synchronous machine is studied by using uncertainty quantification. The uncertain parameters taken into account are related to the geometric properties of the machine (e.g. eccentric rotor positions) or to the material properties (e.g. anisotropic magnets). In order to determine the most sensitive parameters, the influence is studied on the higher harmonic air-gap field components of the machine by using a Monte-Carlo approach. The geometric variations are modelled without remeshing the finite element triangulation in order to avoid numerical noise caused by meshing in the stochastic outputs. It is found that eccentricity increases the total harmonic distortion. If the rotor's centre is described by polar coordinates with respect to the stator's centre, the radial component has more influence on the total harmonic distortion than the angular component.

Typ des Eintrags: Buchkapitel
Erschienen: 2017
Herausgeber: Quintela, Peregrina ; Barral, Patricia ; Gómez, Dolores ; Pena, Francisco J. ; Rodríguez, Jerónimo ; Salgado, Pilar ; Vázquez-Mendéz, Miguel E.
Autor(en): Bontinck, Zeger ; Lass, Oliver ; De Gersem, Herbert ; Schöps, Sebastian
Titel: Uncertainty Quantification for a Permanent Magnet Synchronous Machine with Dynamic Rotor Eccentricity
Sprache: Englisch
Kurzbeschreibung (Abstract):

The behaviour of electrical machines is accurately predicted by finite element simulations. During the design phase, parameter studies and optimization steps are carried out but rarely sensitivities are analysed. However, manufacturing imperfections and uncertain operating conditions are unavoidable. The quantification of their impact on the machine parameters and operation performance can help to increase the robustness of the machine. Accordingly, methods for sensitivity analysis are getting more and more attention. In this research a 6-pole permanent magnetic synchronous machine is studied by using uncertainty quantification. The uncertain parameters taken into account are related to the geometric properties of the machine (e.g. eccentric rotor positions) or to the material properties (e.g. anisotropic magnets). In order to determine the most sensitive parameters, the influence is studied on the higher harmonic air-gap field components of the machine by using a Monte-Carlo approach. The geometric variations are modelled without remeshing the finite element triangulation in order to avoid numerical noise caused by meshing in the stochastic outputs. It is found that eccentricity increases the total harmonic distortion. If the rotor's centre is described by polar coordinates with respect to the stator's centre, the radial component has more influence on the total harmonic distortion than the angular component.

Buchtitel: Progress in Industrial Mathematics at ECMI 2016
Reihe: The European Consortium for Mathematics in Industry
Ort: Berlin
Verlag: Springer
Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Theorie Elektromagnetischer Felder
18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Theorie Elektromagnetischer Felder > Computational Engineering
Exzellenzinitiative > Graduiertenschulen > Graduate School of Computational Engineering (CE)
Veranstaltungsort: Berlin
Hinterlegungsdatum: 16 Jan 2018 08:09
Offizielle URL: http://www.springer.com/de/book/9783319234120
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