Balanced Proper Orthogonal Decomposition Applied to Magnetoquasistatic Problems Through a Stabilization Methodology - Archive ouverte HAL
Article Dans Une Revue IEEE Transactions on Magnetics Année : 2017

Balanced Proper Orthogonal Decomposition Applied to Magnetoquasistatic Problems Through a Stabilization Methodology

Résumé

Model Order Reduction (MOR) methods are applied in different areas of physics in order to reduce the computational time of large scale systems. It has been an active field of research for many years, in mechanics especially, but it is quite recent for magnetoquasistatic problems. Although the most famous method, the Proper Orthogonal Decomposition (POD) has been applied for modelling many electromagnetic devices, this method can lack accuracy for low order magnitude output quantities, like flux associated with a probe in regions where the field is low. However, the Balanced Proper Orthogonal Decomposition (BPOD) is a MOR method which takes into account these output quantities in its reduced model to render them accurately. Even if the BPOD may lead to unstable reduced systems, this can be overcome by a stabilization procedure. Therefore, the POD and stabilized BPOD will be compared on a 3D linear magnetoquasistatic field problem.
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Dates et versions

hal-01519726 , version 1 (09-05-2017)

Identifiants

Citer

Laurent Montier, Thomas Henneron, Benjamin Goursaud, Stéphane Clenet. Balanced Proper Orthogonal Decomposition Applied to Magnetoquasistatic Problems Through a Stabilization Methodology. IEEE Transactions on Magnetics, 2017, 53 (3), pp.1-10. ⟨10.1109/TMAG.2017.2683448⟩. ⟨hal-01519726⟩
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