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An Iterative Model Reduction Scheme for Quadratic-Bilinear Descriptor Systems with an Application to Navier–Stokes Equations Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Model Order Reduction for Rotating Electrical Machines

Authors : Zeger Bontinck, Oliver Lass, Oliver Rain, Sebastian Schöps

Published in: Reduced-Order Modeling (ROM) for Simulation and Optimization

Publisher: Springer International Publishing

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Abstract

The simulation of electric rotating machines is both computationally expensive and memory intensive. To overcome these costs, model order reduction techniques can be applied. The focus of this contribution is especially on machines that contain non-symmetric components. These are usually introduced during the mass production process and are modeled by small perturbations in the geometry (e.g., eccentricity) or the material parameters. While model order reduction for symmetric machines is clear and does not need special treatment, the non-symmetric setting adds additional challenges. An adaptive strategy based on proper orthogonal decomposition is developed to overcome these difficulties. Equipped with an a posteriori error estimator, the obtained solution is certified. Numerical examples are presented to demonstrate the effectiveness of the proposed method.

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Metadata
Title
Model Order Reduction for Rotating Electrical Machines
Authors
Zeger Bontinck
Oliver Lass
Oliver Rain
Sebastian Schöps
Copyright Year
2018
Book
Reduced-Order Modeling (ROM) for Simulation and Optimization

Print ISBN: 978-3-319-75318-8

Electronic ISBN: 978-3-319-75319-5

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-75319-5_6

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