A Generalized State-Space Aeroservoelastic Model Based on Tangential Interpolation

被引:15
|
作者
Quero, David [1 ]
Vuillemin, Pierre [2 ]
Poussot-Vassal, Charles [2 ]
机构
[1] DLR German Aerosp Ctr, Inst Aeroelast, D-37073 Gottingen, Germany
[2] Univ Toulouse, ONERA French Aerosp Lab, DTIS Informat Proc & Syst, F-31055 Toulouse, France
基金
欧盟地平线“2020”;
关键词
aeroservoelasticity; reduced order model; Loewner framework; tangential interpolation; EIGENSYSTEM REALIZATION-ALGORITHM; DYNAMIC LOADS; APPROXIMATION; ALLEVIATION; IDENTIFICATION; RESPONSES; AIRCRAFT; SYSTEMS;
D O I
10.3390/aerospace6010009
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
In this work, a new approach for the generation of a generalized state-space aeroservoelastic model based on tangential interpolation is presented. The resulting system of differential algebraic equations (DAE) is reduced to a set of ordinary differential equations (ODE) by residualization of the non-proper part of the transfer function matrix. The generalized state-space is of minimal order and allows for the application of the force summation method (FSM) for the aircraft loads recovery. Compared to the classical rational function approximation (RFA) approach, the presented method provides a minimal order realization with exact interpolation of the unsteady aerodynamic forces in tangential directions, avoiding any selection of poles (lag states). The new approach is applied first for the generation of an aerodynamic model for the bidimensional unsteady incompressible flow in the time domain. Next, an application on the generation of an aeroservoelastic model for loads evaluation of the flutter reduced order assessment (FERMAT) model under atmospheric disturbances is done, showing an excellent agreement with the reference model in the frequency domain. The proposed aeroservoelastic model of minimal order is suited for loads analysis and multivariable control design, and an application to a gust loads alleviation (GLA) strategy is shown.
引用
收藏
页数:28
相关论文
共 50 条
  • [2] A STATE-SPACE APPROACH TO THE TANGENTIAL INTERPOLATION PROBLEM WITH BOUNDED REAL MATRICES
    PIEKARSKI, MS
    URUSKI, M
    INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS, 1995, 23 (02) : 83 - 90
  • [3] Networked generalized predictive control based on state-space model
    Tang, Bin
    Zhang, Yun
    Liu, Guo-Ping
    Gui, Wei-Hua
    Kongzhi yu Juece/Control and Decision, 2010, 25 (04): : 535 - 541
  • [4] DIRECTIONAL INTERPOLATION IN THE STATE-SPACE
    KIMURA, H
    SYSTEMS & CONTROL LETTERS, 1988, 10 (05) : 317 - 324
  • [5] An improved aeroservoelastic modeling approach for state-space gust analysis
    Yue, Chengyu
    Zhao, Yonghui
    JOURNAL OF FLUIDS AND STRUCTURES, 2020, 99
  • [7] State-space approach to interpolation in MPC
    Mendez, JA
    Kouvaritakis, B
    Rossiter, JA
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2000, 10 (01) : 27 - 38
  • [9] GENERALIZED STATE-SPACE MODEL FOR THE INTERLEAVED BUCK CONVERTER
    Schittler, Andressa C.
    Pappis, Douglas
    Rech, Cassiano
    Campos, Alexandre
    Dalla Costa, Marco A.
    XI BRAZILIAN POWER ELECTRONICS CONFERENCE (COBEP 2011), 2011, : 451 - 457
  • [10] State space methods for tangential interpolation problems
    Rodman, L
    PROCEEDINGS OF THE 36TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 1997, : 4420 - 4424