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Article Dans Une Revue IEEE Transactions on Magnetics Année : 2017

Proper Generalized Decomposition Applied on a Rotating Electrical Machine

Résumé

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.
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Dates et versions

hal-01691115 , version 1 (23-01-2018)

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Laurent Montier, Thomas Henneron, Stephane Clenet, Benjamin Goursaud. Proper Generalized Decomposition Applied on a Rotating Electrical Machine. IEEE Transactions on Magnetics, 2017, pp.1-4. ⟨10.1109/TMAG.2017.2761359⟩. ⟨hal-01691115⟩
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