Efficient Estimation of Electrical Machine Behavior by Model Order Reduction

被引：8

作者：

Mueller, Fabian ^{[1
]}

Siokos, Andreas ^{[1
]}

Kolb, Johann ^{[1
]}

Nell, Martin ^{[1
]}

Hameyer, Kay ^{[1
]}

机构：

[1] Rhein Westfal TH Aachen, Inst Elect Machines, D-52062 Aachen, Germany

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2021年 / 57卷 / 06期

关键词：

Discrete empirical interpolation; finite element method; Gappy POD; iron losses; model order reduction; permanent magnet synchronous machine; proper orthogonal decomposition (POD); DISCRETE EMPIRICAL INTERPOLATION; SIMULATIONS;

D O I：

10.1109/TMAG.2021.3070183

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：4

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