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

Bontinck, Zeger and Lass, Oliver and De Gersem, Herbert and Schöps, Sebastian
Quintela, Peregrina and Barral, Patricia and Gómez, Dolores and Pena, Francisco J. and Rodríguez, Jerónimo and Salgado, Pilar and Vázquez-Mendéz, Miguel E. (eds.) (2017):
Uncertainty Quantification for a Permanent Magnet Synchronous Machine with Dynamic Rotor Eccentricity.
In: Progress in Industrial Mathematics at ECMI 2016, Berlin, Springer, DOI: 10.1007/978-3-319-63082-3,
[Online-Edition: http://www.springer.com/de/book/9783319234120],
[Book Section]

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.

Item Type: Book Section
Erschienen: 2017
Editors: Quintela, Peregrina and Barral, Patricia and Gómez, Dolores and Pena, Francisco J. and Rodríguez, Jerónimo and Salgado, Pilar and Vázquez-Mendéz, Miguel E.
Creators: Bontinck, Zeger and Lass, Oliver and De Gersem, Herbert and Schöps, Sebastian
Title: Uncertainty Quantification for a Permanent Magnet Synchronous Machine with Dynamic Rotor Eccentricity
Language: English
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.

Title of Book: Progress in Industrial Mathematics at ECMI 2016
Series Name: The European Consortium for Mathematics in Industry
Place of Publication: Berlin
Publisher: Springer
ISBN: 978-3-319-63081-6
Divisions: 18 Department of Electrical Engineering and Information Technology
18 Department of Electrical Engineering and Information Technology > Institute of Electromagnetic Field Theory (from 01.01.2019 renamed Institute for Accelerator Science and Electromagnetic Fields)
18 Department of Electrical Engineering and Information Technology > Institute of Electromagnetic Field Theory (from 01.01.2019 renamed Institute for Accelerator Science and Electromagnetic Fields) > Computational Engineering (from 01.01.2019 renamed Computational Electromagnetics)
Exzellenzinitiative > Graduate Schools > Graduate School of Computational Engineering (CE)
Exzellenzinitiative > Graduate Schools
Exzellenzinitiative
Event Location: Berlin
Date Deposited: 16 Jan 2018 08:09
DOI: 10.1007/978-3-319-63082-3
Official URL: http://www.springer.com/de/book/9783319234120
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