Flutter boundary prediction method based on VMD decomposition using prediction signal

Tongxi Wu; Li Zhou

doi:10.1117/12.2657943

18 April 2023 Flutter boundary prediction method based on VMD decomposition using prediction signal

Tongxi Wu, Li Zhou

Proceedings Volume 12487, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVII; 124871M (2023) https://doi.org/10.1117/12.2657943
Event: SPIE Smart Structures + Nondestructive Evaluation, 2023, Long Beach, California, United States

Conference Poster

Abstract

In order to predict the flutter boundary of the wing under the action of atmospheric turbulence, the obtained turbulence signal is first denoised, and the attenuation signal containing a single mode is obtained by using the variational modal decomposition method. The data containing few attenuation points are extended by using machine learning methods, and the matrix pencil method is used to identify the modes. Finally, the stability criterion is calculated by using the modal parameters, The flutter boundary is calculated from these data. In this paper, the wind tunnel test data are used to analyze and solve the modal, and the flutter boundary is accurately predicted in advance.

Citation Download Citation

Tongxi Wu and Li Zhou "Flutter boundary prediction method based on VMD decomposition using prediction signal", Proc. SPIE 12487, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVII, 124871M (18 April 2023); https://doi.org/10.1117/12.2657943

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