Proper Generalized Decomposition Applied on a Rotating Electrical Machine

The proper generalized decomposition (PGD) is a model order reduction method which allows to reduce the computational time of a numerical problem by seeking for a separated representation of the solution. The PGD has been already applied to study an electrical machine but at standstill without accou...

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Bibliographic Details
Published in:IEEE transactions on magnetics 2018-03, Vol.54 (3), p.1-4
Main Authors: Montier, L., Henneron, T., Clenet, S., Goursaud, B.
Format: Article
Language:English
Subjects:
Computational efficiency
Computational modeling
Computer simulation
Computing time
Decomposition
Electric power
Electrical machine
Electromagnetism
Engineering Sciences
finite element (FE) method
Iron
Magnetic domains
Magnetism
Mathematical model
Mathematical models
Mathematics
metamodel
model order reduction
Model reduction
Numerical Analysis
Numerical models
Permeability
proper generalized decomposition
Rotating machinery
Rotors
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Summary:The proper generalized decomposition (PGD) is a model order reduction method which allows to reduce the computational time of a numerical problem by seeking for a separated representation of the solution. The PGD has been already applied to study an electrical machine but at standstill without accounting the motion of the rotor. In this paper, we propose a method to account for the rotation in the PGD approach in order to build an efficient metamodel of an electrical machine. Then, the machine metamodel will be coupled to its electrical and mechanical environment in order to obtain accurate results with an acceptable computational time on a full simulation.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2017.2761359