Efficient Estimation of Electrical Machine Behavior by Model Order Reduction

IEEE Transactions on Magnetics, vol. 57, pp. 1–4

Abstract

The proper orthogonal decomposition (POD) is an efficient model order reduction method, which is frequently coupled with the discrete empirical interpolation method (DEIM) to solve nonlinear electromagnetic problems. A drawback of this method is that instabilities can occur related to the reduction operator of the nonlinear part. In this contribution, different DEIMs and the Gappy POD are employed and analyzed. Consecutively, the methods are employed to efficiently estimate the behavior of a permanent magnet synchronous machine in terms of global quantities, such as torque and iron losses.

Authors 4

1. Fabian Müller Aachen Institute of Electrical Machines (IEM)

   RWTH Aachen University

   Affiliation as printed

   Institute of Electrical Machines, RWTH Aachen University, Aachen, Germany

   (Institute of Electrical Machines, RWTH‐Aachen University, Aachen, Germany)

2. Andreas Siokos Aachen Institute of Electrical Machines (IEM)

   RWTH Aachen University

   Affiliation as printed

   Institute of Electrical Machines, RWTH Aachen University, Aachen, Germany

   (Institute of Electrical Machines, RWTH‐Aachen University, Aachen, Germany)

3. Martin Marco Nell Aachen Institute of Electrical Machines (IEM)

   RWTH Aachen University

   Affiliation as printed

   Institute of Electrical Machines, RWTH Aachen University, Aachen, Germany

   (Institute of Electrical Machines, RWTH‐Aachen University, Aachen, Germany)

4. Kay Hameyer Aachen Institute of Electrical Machines (IEM)

   RWTH Aachen University

   Affiliation as printed

   Institute of Electrical Machines, RWTH Aachen University, Aachen, Germany

   (Institute of Electrical Machines, RWTH‐Aachen University, Aachen, Germany)