Model Order Reduction of Magnetoquasistatic Problems Based on POD and Arnoldi-based Krylov Methods

Antoine Pierquin (1) , Thomas Henneron (1) , Stéphane Clenet (1) , Stephane Brisset (1)

1 L2EP - Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697

The Proper Orthogonal Decomposition method and the Arnoldi-based Krylov projection method are investigated in order to reduce a finite element model of a quasistatic 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.

Domaines: Electromagnétisme

Antoine Pierquin, Thomas Henneron, Stéphane Clenet, Stephane Brisset. Model Order Reduction of Magnetoquasistatic Problems Based on POD and Arnoldi-based Krylov Methods. IEEE Transactions on Magnetics, 2015, 51 (3), ⟨10.1109/TMAG.2014.2358374⟩. ⟨hal-01430569⟩