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.
引用
下载
收藏
页码:103 / 129
页数:27
相关论文
共 50 条
  • [1] Rational Krylov for eigenvalue computation and model order reduction
    Olsson, K. Henrik A.
    Ruhe, Axel
    BIT NUMERICAL MATHEMATICS, 2006, 46 (Suppl 1) : S99 - S111
  • [2] Rational Krylov for eigenvalue computation and model order reduction
    K. Henrik A. Olsson
    Axel Ruhe
    BIT Numerical Mathematics, 2006, 46 : 99 - 111
  • [3] INTERPOLATORY RATIONAL MODEL ORDER REDUCTION OF PARAMETRIC PROBLEMS LACKING UNIFORM INF-SUP STABILITY
    Pradovera, Davide
    SIAM JOURNAL ON NUMERICAL ANALYSIS, 2020, 58 (04) : 2265 - 2293
  • [4] Stability analysis of Bilinear Iterative Rational Krylov Algorithm
    Choudhary, Rajendra
    Ahuja, Kapil
    LINEAR ALGEBRA AND ITS APPLICATIONS, 2018, 538 : 56 - 88
  • [5] A Novel Krylov Method for Model Order Reduction of Quadratic Bilinear Systems
    Cao, Xingang
    Maubach, Joseph
    Weiland, Siep
    Schilders, Wil
    2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2018, : 3217 - 3222
  • [6] NONLINEAR PARAMETRIC INVERSION USING INTERPOLATORY MODEL REDUCTION
    De Sturler, Eric
    Gugercin, Serkan
    Kilmer, Misha E.
    Chaturantabut, Saifon
    Beattie, Christopher
    O'Connell, Meghan
    SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2015, 37 (03): : B495 - B517
  • [7] Krylov subspace methods for model order reduction of bilinear control systems
    Breiten, Tobias
    Damm, Tobias
    SYSTEMS & CONTROL LETTERS, 2010, 59 (08) : 443 - 450
  • [8] Comparative study on techniques of model order reduction using rational Krylov subspace method
    Saiduzzaman, Md
    Islam, Md Shafiqul
    Uddin, Mohammad Monir
    Gani, Mohammad Osman
    JOURNAL OF INTERDISCIPLINARY MATHEMATICS, 2022, 25 (07) : 1971 - 1978
  • [9] Interpolatory model reduction of parameterized bilinear dynamical systems
    Andrea Carracedo Rodriguez
    Serkan Gugercin
    Jeff Borggaard
    Advances in Computational Mathematics, 2018, 44 : 1887 - 1916
  • [10] PARALLEL IMPLEMENTATION OF ITERATIVE RATIONAL KRYLOV METHODS FOR MODEL ORDER REDUCTION
    Yetkin, E. Fatih
    Dag, Hasan
    2009 FIFTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING, COMPUTING WITH WORDS AND PERCEPTIONS IN SYSTEM ANALYSIS, DECISION AND CONTROL, 2010, : 291 - +