Model-Order Reduction of Magnetoquasi-Static Problems Based on POD and Arnoldi-Based Krylov Methods

The proper orthogonal decomposition method and Arnoldi-based Krylov projection method are investigated in order to reduce a finite-element model of a quasi-static problem. Both methods are compared on an academic example in terms of computation time and precision.

Mots clés

Krylov subspace model-order reduction proper orthogonal decomposition quasi-static problem Frequency-domain analysis Model Order Reduction

Domaines

Energie électrique

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L2EP_CEFC-2_2015_CLENET.pdf (2.46 Mo)

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https://hal.science/hal-01163841

Soumis le : vendredi 10 novembre 2017-12:13:40

Dernière modification le : mercredi 24 janvier 2024-09:54:19

Archivage à long terme le : dimanche 11 février 2018-12:19:54

Dates et versions

hal-01163841 , version 1 (10-11-2017)

Identifiants

HAL Id : hal-01163841 , version 1
DOI : 10.1109/TMAG.2014.2358374
ENSAM : http://hdl.handle.net/10985/9558

Citer

Antoine Pierquin, Thomas Henneron, Stéphane Clenet, Stephane Brisset. Model-Order Reduction of Magnetoquasi-Static Problems Based on POD and Arnoldi-Based Krylov Methods. CONFERENCE ON ELECTROMAGNETIC FIELD COMPUTATION, May 2014, Annecy, France. pp.1-4, ⟨10.1109/TMAG.2014.2358374⟩. ⟨hal-01163841⟩

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