Aeroservoelasticity of an Airfoil with Parametric Uncertainty and Subjected to Atmospheric Gusts

Zhang, Xiaoyang; Kheiri, Mojtaba; Xie, Wenfang

doi:10.2514/1.j060089

Cited by 14 publications

(7 citation statements)

References 49 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The coupling interaction between the nonlinearity and the stochasticity can lead to complex vibration behaviors in comparison with a deterministic model. [64][65][66]96,99,[117][118][119][120][121][122][123][124][125][126][127] Thus, it is important to understand the resulting dynamics of the aeroelastic airfoil system (1) with uncertain disturbances via analytical, numerical, or experimental methods. Several effective techniques, such as the center manifold reduction method, 64 the incremental harmonic balance method, 65 and the adaptive spectral method, 66 have been developed to analyze the nonlinear behaviors of the two-dimensional airfoil systems with gust-load or parameter uncertainty.…”

Section: B Noise-induced Complex Dynamics 1 Stochastic Bifurcationmentioning

confidence: 99%

“…During the past decade, several control approaches, such as optimal control, feedback control, and others, have been developed to suppress the undesired random vibration of the aeroelastic airfoil system (1) with different random fluctuations. 95,98,123,[145][146][147][148][149][150][151][152][153] For instance, Liu et al 95 of freedom airfoil model excited by a combination of harmonic force and colored Gaussian noise. Therefore, an integral sliding mode vector function was selected to construct the SMC law.…”

Section: Suppression Of Random Vibrationmentioning

confidence: 99%

“…At the same time, the stability of the controlled airfoil system was also analyzed via the largest Lyapunov exponent. Zhang et al 123 proposed an adaptive controller with an estimation update law to stabilize the unexpected vibration of a three degrees of freedom airfoil model with stiffness and damping uncertainties. Besides, the excitation of atmospheric gust was also considered to model the effects of the external flight environment on the wing structure.…”

Section: Suppression Of Random Vibrationmentioning

confidence: 99%

See 2 more Smart Citations

Complex nonlinear dynamics and vibration suppression of conceptual airfoil models: A state-of-the-art overview

Liu

Kurths

et al. 2022

Chaos: An Interdisciplinary Journal of Nonlinear Science

View full text Add to dashboard Cite

During the past few decades, several significant progresses have been made in exploring complex nonlinear dynamics and vibration suppression of conceptual aeroelastic airfoil models. Additionally, some new challenges have arisen. To the best of the author’s knowledge, most studies are concerned with the deterministic case; however, the effects of stochasticity encountered in practical flight environments on the nonlinear dynamical behaviors of the airfoil systems are neglected. Crucially, coupling interaction of the structure nonlinearities and uncertainty fluctuations can lead to some difficulties on the airfoil models, including accurate modeling, response solving, and vibration suppression. At the same time, most of the existing studies depend mainly on a mathematical model established by physical mechanisms. Unfortunately, it is challenging and even impossible to obtain an accurate physical model of the complex wing structure in engineering practice. The emergence of data science and machine learning provides new opportunities for understanding the aeroelastic airfoil systems from the data-driven point of view, such as data-driven modeling, prediction, and control from the recorded data. Nevertheless, relevant data-driven problems of the aeroelastic airfoil systems are not addressed well up to now. This survey contributes to conducting a comprehensive overview of recent developments toward understanding complex dynamical behaviors and vibration suppression, especially for stochastic dynamics, early warning, and data-driven problems, of the conceptual two-dimensional airfoil models with different structural nonlinearities. The results on the airfoil models are summarized and discussed. Besides, several potential development directions that are worth further exploration are also highlighted.

show abstract

Section: B Noise-induced Complex Dynamics 1 Stochastic Bifurcationmentioning

confidence: 99%

Section: Suppression Of Random Vibrationmentioning

confidence: 99%

Section: Suppression Of Random Vibrationmentioning

confidence: 99%

See 1 more Smart Citation

Complex nonlinear dynamics and vibration suppression of conceptual airfoil models: A state-of-the-art overview

Liu

Kurths

et al. 2022

Chaos: An Interdisciplinary Journal of Nonlinear Science

View full text Add to dashboard Cite

show abstract

“…In [6], the nonlinear aeroelastic phenomena of a 2-DOF wing with small flutter in a low-speed wind tunnel and the local bifurcation behavior of the system were studied. In [7], the dynamical behavior of a threedegrees-of-freedom (3-DOF) wing with structural stiffness and damping uncertainty under atmospheric gusts was investigated. Based on this, an adaptive controller was designed to stabilize the wing subjected to gusts.…”

Section: Introductionmentioning

confidence: 99%

Analysis of stochastic P-bifurcation and critical flutter velocity parameter effects on a 3 degree of freedom wing

Huang

2023

Preprint

View full text Add to dashboard Cite

In this study, we develop a stochastic nonlinear aerodynamic model for a three degree of freedom (3-DOF) wing with higher-order substructural nonlinearity in a two-dimensional flow field, applying high-dimensional and multi-stable system dimensionality reduction analysis methods to reduce system dimensionality. We obtain linear and nonlinear critical flutter velocities for the system to experience significant oscillations. We discuss the influence law of the nonlinear stiffness coefficient and stochastic disturbance parameters on the large critical flutter velocity of the system. We derive the probability density function of the steady-state response in three directions, that is, plunge, pitch, and control surface angle, by applying the stochastic averaging method, and analyze the influence law of structural parameters and stochastic airflow disturbance on the stochastic flutter behavior of the system in a two-dimensional flow field. We apply the stochastic P-bifurcation analysis method for high-dimensional multidimensional systems to study the stochastic P-bifurcation phenomenon of the steady-state response of a 3-DOF wing flutter system under stochastic disturbances.

show abstract

“…Gusts are one of the most common-seen flow perturbations in urban environments, which are sudden changes in wind speed and direction. They can cause UAM vehicles to experience sudden and unexpected changes in altitude, roll, and pitch, which can lead to loss of stability and control or even a crash [1], [2].…”

Section: Introductionmentioning

confidence: 99%

Study of the wake flow downstream of two oscillating vanes

Zhang,

Poirel,

Benaissa

et al. 2023

Progress in Canadian Mechanical Engineering. Volume 6

View full text Add to dashboard Cite

Towards modelling aerodynamic and aeroelastic response to gusts, a capability of generating controllable perturbed flow was developed for a low-speed wind tunnel of the Royal Military College of Canada (RMC). The experimental setup consisted of two NACA0015 vanes in the freestream. Two independent servo motors were used to actuate the oscillating vanes thus turning the incoming flow, and generating transverse and/or horizontal flow perturbation. A wake flow survey was carried out for the test section downstream of the vanes using an X-hot-wire probe. Both static and dynamic scenarios were investigated. The study of the static configuration was conducted to help the understanding of the dynamic configuration. For the static scenario, the distribution of both the averaged velocity and turbulence intensity of the airflow were obtained along the vertical and streamwise directions. The spectrum of experimental data confirmed intense von Kármán vortex shedding in the wake area. For the dynamic scenario, oscillating frequencies of vane motion and their super-harmonics were dominant in the spectral plots. The streamwise location range, where the generated vertical flow variation had a nearly uniform amplitude, was determined. It will be utilized as the future location to mount the test wing. The current flow survey and scheduled study of gust effects on the static test wing are building a foundation for our planned aeroelastic investigations.

show abstract

Aeroservoelasticity of an Airfoil with Parametric Uncertainty and Subjected to Atmospheric Gusts

Cited by 14 publications

References 49 publications

Complex nonlinear dynamics and vibration suppression of conceptual airfoil models: A state-of-the-art overview

Complex nonlinear dynamics and vibration suppression of conceptual airfoil models: A state-of-the-art overview

Analysis of stochastic P-bifurcation and critical flutter velocity parameter effects on a 3 degree of freedom wing

Study of the wake flow downstream of two oscillating vanes

Contact Info

Product

Resources

About