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
来源
PROCEEDINGS OF ASME 2024 AEROSPACE STRUCTURES, STRUCTURAL DYNAMICS, AND MATERIALS CONFERENCE, SSDM2024 | 2024年
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.
引用
收藏
页数:6
相关论文
共 15 条
[1]   LPV modeling of a flexible wing aircraft using modal alignment and adaptive gridding methods [J].
Al-Jiboory, Ali Khudhair ;
Zhu, Guoming ;
Swei, Sean Shan-Min ;
Su, Weihua ;
Nguyen, Nhan T. .
AEROSPACE SCIENCE AND TECHNOLOGY, 2017, 66 :92-102
[2]   Comparing linear parameter-varying gain-scheduled control techniques for active flutter suppression [J].
Barker, JM ;
Balas, GJ .
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2000, 23 (05) :948-955
[3]   Data-driven nonlinear aeroelastic models of morphing wings for control [J].
Fonzi, N. ;
Brunton, S. L. ;
Fasel, U. .
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES, 2020, 476 (2239)
[4]   Smooth-switching LPV control for vibration suppression of a flexible airplane wing [J].
He, Tianyi ;
Zhu, Guoming G. ;
Swei, Sean S. -M. ;
Su, Weihua .
AEROSPACE SCIENCE AND TECHNOLOGY, 2019, 84 :895-903
[5]   The balanced mode decomposition algorithm for data-driven LPV low-order models of aeroservoelastic systems [J].
Iannelli, Andrea ;
Fasel, Urban ;
Smith, Roy S. .
AEROSPACE SCIENCE AND TECHNOLOGY, 2021, 115
[6]   AN EIGENSYSTEM REALIZATION-ALGORITHM FOR MODAL PARAMETER-IDENTIFICATION AND MODEL-REDUCTION [J].
JUANG, JN ;
PAPPA, RS .
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 1985, 8 (05) :620-627
[7]   Deep neural network for unsteady aerodynamic and aeroelastic modeling across multiple Mach numbers [J].
Li, Kai ;
Kou, Jiaqing ;
Zhang, Weiwei .
NONLINEAR DYNAMICS, 2019, 96 (03) :2157-2177
[8]   FINITE-STATE INDUCED FLOW MODELS .1. 2-DIMENSIONAL THIN AIRFOIL [J].
PETERS, DA ;
KARUNAMOORTHY, S ;
CAO, WM .
JOURNAL OF AIRCRAFT, 1995, 32 (02) :313-322
[9]   FINITE-STATE INDUCED FLOW MODELS .2. 3-DIMENSIONAL ROTOR DISK [J].
PETERS, DA ;
HE, CJ .
JOURNAL OF AIRCRAFT, 1995, 32 (02) :323-333
[10]   Dynamic Response of Highly Flexible Flying Wings [J].
Su, Weihua ;
Cesnik, Carlos E. S. .
AIAA JOURNAL, 2011, 49 (02) :324-339