A PARAMETRIC DYNAMIC MODE DECOMPOSITION FOR REDUCED-ORDER MODELING OF HIGHLY FLEXIBLE AIRCRAFT

被引:0
|
作者
He, Tianyi [1 ]
Su, Weihua [2 ]
机构
[1] Utah State Univ, Logan, UT 84322 USA
[2] Univ Alabama, Tuscaloosa, AL USA
关键词
data-driven modeling; flexible structure; dynamic mode decomposition; linear parameter varying system; INDUCED FLOW MODELS;
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper introduces a parametric Dynamic Mode Decomposition (p-DMD) modeling approach for the nonlinear aeroelasticity of highly flexible aircraft. The method derives a linear parameter-varying reduced-order model (LPV-ROM) directly from data snapshots, which are obtained by feeding excitation input and integrating governing equations. The proposed p-DMD method is capable of addressing varying flight conditions and overcoming the limitations of the traditional DMD method around equilibrium/trim flight. We demonstrate, in this paper, the p-DMD can effectively capture nonlinear aeroelasticity and flight dynamic responses in both time and frequency domains, as demonstrated through comparisons with linearization-based parametric modeling in numerical studies of a highly flexible aircraft at frozen and varying angles of attack.
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页数:6
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