A Self-Adaptive Model-Order Reduction Algorithm for Nonlinear Eddy-Current Problems Based on Quadratic-Bilinear Modeling

被引：9
|
作者：
Klis, Daniel [1 ]
Burgard, Stefan [1 ]
Farle, Ortwin [1 ]
Dyczij-Edlinger, Romanus [1 ]
机构：
[1] Univ Saarland, Lab Electromagnet Theory, D-66123 Saarbrucken, Germany
来源：
IEEE TRANSACTIONS ON MAGNETICS | 2016年 / 52卷 / 03期
关键词：
Eddy-current problems; finite-element (FE) analysis; model-order reduction (MOR); nonlinear models;
D O I：
10.1109/TMAG.2015.2487601
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 finite-element time-domain simulation of nonlinear eddy-current problems requires the iterative solution of a large, sparse system of equations at every time-step. Model-order reduction is a powerful tool for reducing the computational effort for this task. In this paper, an adaptive order-reduction methodology with error control is proposed. In contrast to previous approaches, it treats the nonlinearity without simplification, by rewriting the original equations as a quadratic-bilinear system.
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页数：4
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