Robust flutter analysis of a nonlinear aeroelastic system with parametric uncertainties

Yun, Haiwei; Jing, Han

doi:10.1016/j.ast.2008.08.001

Cited by 18 publications

(7 citation statements)

References 23 publications

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“…There is an extensive amount of publications about linear fractional transformations (LFT) and µ (Chenglong, Xin and Chuntao, 2010;Hsu et al, 2008;Menon, Bates and Postlethwaite, 2007;Menon et al, 2009;Pfifer and Hecker, 2011;Natesan and Bhat, 2007;Yun and Han, 2009;Zhou et al, 2007). The objective of this section is to make use of the well-established characteristics of these tools, with the final target of proposing one set of tests to measure the robust stability and performance.…”

Section: Completing the Robustness Testmentioning

confidence: 99%

A methodology to assess robust stability and robust performance of automatic flight control systems

Silva¹,

Paiva²,

Kienitz

2011

Sba Controle & Automação

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RESUMOUma metodologia para avaliar a estabilidade e o desempenho robustos de sistemas automáticos de comando de voo Esse artigo apresenta uma metodologia para avaliar a estabilidade robusta e o desempenho robusto de sistemas automáticos de comando de vôo. A ferramenta matemática utilizada na metodologia proposta é o valor singular estruturado, µ. Para fins de comparação, o artigo utiliza uma metodologia largamente utilizada na indústria aeronáutica para mensurar as características mencionadas. Os problemas dessa metodologia são discutidos e é mostrado que o método proposto é uma elegante alternativa para contornar as desvantagens do método industrial. Um procedimento passo a passo é apresentado, incorporando as vantagens da abordagem atualmente utilizada na indústria e eliminando suas fraquezas.Artigo submetido em 09/11/ABSTRACT This article presents a methodology to assess the robust stability and the robust performance of automatic flight control systems (AFCS). The mathematical tool used in the proposed methodology is the structured singular value, µ. For comparison purposes, the paper uses a method largely employed in the aircraft industry to measure the quoted AFCS attributes. The issues existing in this methodology are discussed and it is shown that the proposed method presents one elegant path to deal with the mentioned drawbacks. A step by step procedure is provided, incorporating the advantages offered by the approach currently used in the industry and eliminating its weaknesses.

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Section: Completing the Robustness Testmentioning

confidence: 99%

A methodology to assess robust stability and robust performance of automatic flight control systems

Silva¹,

Paiva²,

Kienitz

2011

Sba Controle & Automação

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“…Therefore, it is particularly important to develop a reliable and effective control method to solve such problems. In previous studies [6][7][8], researchers have analyzed the nonlinear responses of aeroelastic systems, and various advance control approaches have been extensively studied in the field of flutter and limit cycle oscillation suppression.…”

Section: Introductionmentioning

confidence: 99%

Prescribed Performance Adaptive Control for a Nonlinear Aeroelastic System with Input Constraint

Gao

Zhang

et al. 2022

International Journal of Aerospace Engineering

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A constrained prescribed performance compensation controller is proposed for a nonlinear aeroelastic system in the presence of wind gust, system uncertainties, and input saturation. To deal with the effects of the nonsmooth saturation nonlinearity, an approximate saturation function is introduced into the controller design, which can smoothly approximate the real saturation with arbitrarily prescribed precision. Specifically, by designing the prescribed performance function, a fixed-time control framework is designed to ensure that the closed-loop system has the prescribed tracking performance. The designed control algorithm can not only compensate the adverse effect caused by disturbances and uncertainties but also restrain the excessive amplitude of control input. Finally, the stability analysis shows that all the signals in the closed-loop system are semiglobally uniformly ultimately bounded via the Lyapunov stability analysis method, and simulation results are presented to demonstrate the feasibility and effectiveness of the proposed method.

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“…They used a first-order Taylor series expansion to predict the lower and upper bounds of flutter speed. The problem of robust stability of a two-dimensional nonlinear aeroelastic system with uncertainties using the μ-method was investigated by Yun and Hun (21) . The effect of parametric uncertainty on the stall flutter bifurcation behavior of a pitching airfoil was conducted by Sarkar et al (22) .…”

Section: Introductionmentioning

confidence: 99%

Fuzzy uncertainty analysis and reliability assessment of aeroelastic aircraft wings

Rezaei¹,

Fazelzadeh²,

Mazidi³

et al. 2020

Aeronaut. j.

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In the present study, fuzzy uncertainty and reliability analysis of aeroelastic aircraft wings are investigated. The uncertain air speed and structural parameters are represented by fuzzy triangular membership functions. These uncertainties are propagated through the wing model using a fuzzy interval approach, and the uncertain flutter speed is obtained as a fuzzy variable. Further, the reliability of the wing flutter is based on the interference area in the pyramid shape defined by the fuzzy flutter speed and air speed. The ratio between the safe region volume and the total volume of the pyramid gives the reliability value. Two different examples are considered—a typical wing section, and a clean wing—and the results are given for various wind speed conditions. The results show that the approach considered is a low-cost but suitable method to estimate the reliability of the wing flutter speed in the presence of uncertainties.

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Robust flutter analysis of a nonlinear aeroelastic system with parametric uncertainties

Cited by 18 publications

References 23 publications

A methodology to assess robust stability and robust performance of automatic flight control systems

A methodology to assess robust stability and robust performance of automatic flight control systems

Prescribed Performance Adaptive Control for a Nonlinear Aeroelastic System with Input Constraint

Fuzzy uncertainty analysis and reliability assessment of aeroelastic aircraft wings

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