2012
DOI: 10.1016/j.conengprac.2012.06.001
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Generation of a reduced-order LPV/LFT model from a set of large-scale MIMO LTI flexible aircraft models

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Cited by 63 publications
(54 citation statements)
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“…In this work the approach of PMOR by state-space matrices interpolation is chosen. This method has been successfully applied in the past in aeroelasticity, for fast flutter clearance of a wing-store configuration [33], in control system design of a flexible aircraft [34], in unsteady CFD [35] and in other engineering domains [36], but not for gust and manoeuvre loads prediction. Hereafter, the PMOR framework proposed in [37] is followed.…”
Section: Parametric Model Order Reductionmentioning
confidence: 99%
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“…In this work the approach of PMOR by state-space matrices interpolation is chosen. This method has been successfully applied in the past in aeroelasticity, for fast flutter clearance of a wing-store configuration [33], in control system design of a flexible aircraft [34], in unsteady CFD [35] and in other engineering domains [36], but not for gust and manoeuvre loads prediction. Hereafter, the PMOR framework proposed in [37] is followed.…”
Section: Parametric Model Order Reductionmentioning
confidence: 99%
“…As the Balanced Truncation is not a physics-based reduction, the states of the ROMs at different parameter values lie in unrelated subspaces and, before the interpolation, must be transformed, through a similarity transformation 8 ,5 = 5 8 ,¡ ¢ , to a congruent common subspace, spanned by the column of the matrix B ∈ ℝ › • x oe . The choice of this reference subspace is critical for the accuracy of the entire procedure; it is problem-dependent and various options have been proposed [30], [34]. A solution that, for the application considered, is robust and delivers accurate results is adopting the first !…”
Section: Parametric Model Order Reductionmentioning
confidence: 99%
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“…The procedure applied herein is based on the construction of a database of ROMs at few selected sampling points C Q R , ; S T in the parameter domain and by interpolation of the reduced state-space matrices at all the other points of interest for the simulation C > G , ; ̅ U . This method has been successfully applied in the past in aeroelasticity, for fast flutter clearance of a wing-store configuration 22 , in control system design of a flexible aircraft 23 and unsteady CFD 24 . This paper presents its extension to the transient response and loads prediction of aeroelastic systems with concentrated structural nonlinearities and its application in an optimization framework.…”
Section: Parametric Model Order Reduction For Aeroelastic Systems Witmentioning
confidence: 99%
“…In order to facilitate the modeling and the use of LFR systems, a toolbox was developed by ONERA, which used Matlab® software that contained several useful features [35].…”
Section: The Lower Linear Fractional Transformation Lft ( )mentioning
confidence: 99%