Parametric model order reduction of thermal models using the bilinear interpolatory rational Krylov algorithm

被引:12
|
作者
Bruns, Angelika [1 ]
Benner, Peter [2 ]
机构
[1] Robert Bosch GmbH, D-70839 Gerlingen, Germany
[2] Max Planck Inst Dynam Complex Tech Syst, D-39106 Magdeburg, Germany
关键词
34K17; 93A15; stability preservation; finite element modelling; thermal heat transfer; parametric model order reduction;
D O I
10.1080/13873954.2014.924534
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The Bilinear Interpolatory Rational Krylov Algorithm (BIRKA; P. Benner and T. Breiten, Interpolation-based H-2-model reduction of bilinear control systems, SIAM J. Matrix Anal. Appl. 33 (2012), pp. 859-885. doi:10.1137/110836742) is a recently developed method for Model Order Reduction (MOR) of bilinear systems. Here, it is used and further developed for a certain class of parametric systems. As BIRKA does not preserve stability, two different approaches generating stable reduced models are presented. In addition, the convergence for a modified version of BIRKA for large systems is analysed and a method for detecting divergence possibly resulting from this modification is proposed. The behaviour of the algorithm is analysed using a finite element model for the thermal analysis of an electrical motor. The reduction of two different motor models, incorporating seven and thirteen different physical parameters, is performed.
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页码:103 / 129
页数:27
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