The Use of Gramian Matrices for Aeroelastic Stability Analysis

Author:

Bueno Douglas Domingues1ORCID,Marqui Clayton Rodrigo1,Sandoval Góes Luiz Carlos1,Gonçalves Paulo José Paupitz2

Affiliation:

1. Technological Institute of Aeronautics (ITA), 12 228 900 São José dos Campos, SP, Brazil

2. Universidade Estadual Paulista (UNESP), 17 033 360 Bauru, SP, Brazil

Abstract

Most of the established procedures for analysis of aeroelastic flutter in the development of aircraft are based on frequency domain methods. Proposing new methodologies in this field is always a challenge, because the new methods need to be validated by many experimental procedures. With the interest for new flight control systems and nonlinear behavior of aeroelastic structures, other strategies may be necessary to complete the analysis of such systems. If the aeroelastic model can be written in time domain, using state-space formulation, for instance, then many of the tools used in stability analysis of dynamic systems may be used to help providing an insight into the aeroelastic phenomenon. In this respect, this paper presents a discussion on the use of Gramian matrices to determine conditions of aeroelastic flutter. The main goal of this work is to introduce how observability gramian matrix can be used to identify the system instability. To explain the approach, the theory is outlined and simulations are carried out on two benchmark problems. Results are compared with classical methods to validate the approach and a reduction of computational time is obtained for the second example.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A note on the state space representation of aeroelastic systems for time domain analysis;Journal of Fluids and Structures;2021-07

2. The contributions of Prof. Vicente Lopes Jr to smart structures research;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2018-12-17

3. A reduced order state space model for aeroelastic analysis in time domain;Journal of Fluids and Structures;2017-02

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