Reduced order models using generalized eigenanalysis

被引:12
|
作者
Ripepi, M. [1 ]
Masarati, P. [1 ]
机构
[1] Politecn Milan, Dipartimento Ingn Aerospaziale, I-20156 Milan, Italy
关键词
eigensolution; model order reduction; generalized Schur decomposition; MULTIBODY; DYNAMICS; REDUCTION; STABILITY;
D O I
10.1177/14644193JMBD254
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This article discusses the use of generalized eigenanalysis to extract reduced order models from the linearization of structural and aeroelastic problems written in differential-algebraic form. These problems may arise from multi-body analysis and in general from mixed approaches, where a high degree of generality and modelling flexibility are sought. A method based on a shift technique is proposed, that allows to exploit the regularity of the matrix pencil resulting from the linearization of differential-algebraic problems. Alternatively, the generalized Schur decomposition, or QZ decomposition, is directly used to select a cluster of eigenvalues related to the dynamic states. The two approaches are used to reduce the model to ordinary differential in state-space form. The two methods are applied to simple numerical problems, highlighting their robustness and versatility compared to other techniques. They are also applied to numerical models of a high-altitude long endurance aircraft obtained using a free general-purpose multi-body solver and a dedicated mixed variational solver.
引用
收藏
页码:52 / 65
页数:14
相关论文
共 50 条
  • [1] A generalized constraint reduction method for reduced order MBS models
    Daniel Stadlmayr
    Wolfgang Witteveen
    Wolfgang Steiner
    Multibody System Dynamics, 2017, 41 : 259 - 274
  • [2] A generalized constraint reduction method for reduced order MBS models
    Stadlmayr, Daniel
    Witteveen, Wolfgang
    Steiner, Wolfgang
    MULTIBODY SYSTEM DYNAMICS, 2017, 41 (03) : 259 - 274
  • [3] Eigenanalysis and reduced-order modelling of unsteady partial cavity flows using the boundary element method
    Behbahani-Nejad, Morteza
    Changizian, Maziar
    ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS, 2013, 37 (09) : 1151 - 1160
  • [4] DESIGN OF LOW ORDER ESTIMATORS USING REDUCED MODELS
    WILSON, DA
    MISHRA, RN
    INTERNATIONAL JOURNAL OF CONTROL, 1979, 29 (03) : 447 - 456
  • [5] IMAGE-RESTORATION USING REDUCED ORDER MODELS
    ANGWIN, DL
    KAUFMAN, H
    SIGNAL PROCESSING, 1989, 16 (01) : 21 - 28
  • [6] From Data to Reduced-Order Models via Generalized Balanced Truncation
    Burohman, Azka Muji
    Besselink, Bart
    Scherpen, Jacquelien M. A.
    Camlibel, M. Kanat
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2023, 68 (10) : 6160 - 6175
  • [7] Continuation of nonlinear normal modes using reduced-order models based on generalized characteristic value decomposition
    Stein, Dalton L.
    Chelidze, David
    NONLINEAR DYNAMICS, 2025, 113 (01) : 25 - 45
  • [8] Modeling vibratory damage with reduced-order models and the generalized finite element method
    O'Hara, Patrick J.
    Hollkamp, Joseph J.
    JOURNAL OF SOUND AND VIBRATION, 2014, 333 (24) : 6637 - 6650
  • [9] A hybrid enrichment strategy for the efficient construction of reduced order models by the proper generalized decomposition
    Mueller, Fabian
    Baumanns, Paul
    Hameyer, Kay
    COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2023, 42 (06) : 1718 - 1732
  • [10] Design optimization using hyper-reduced-order models
    Amsallem, David
    Zahr, Matthew
    Choi, Youngsoo
    Farhat, Charbel
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2015, 51 (04) : 919 - 940