A new automatic, very efficient method for the analysis of flight flutter testing data

This article presents a new data processing method, based on higher order dynamic mode decomposition, to analyze actual flight test experimental data. The new methodology (i) is fast and efficient, (ii) is automatic, (iii) provides a clean spectrum in terms of the frequencies and damping rates of the flutter modes, and (iv) reconstructs the spatial distribution of the modes over the aircraft surface. The method gives useful and interesting information for predicting flutter and is suitable to analyze flight test data in real time. (C) 2021 Elsevier Masson SAS. All rights reserved.

Automated summary

This article introduces a new data processing method based on higher order dynamic mode decomposition for analyzing experimental data from actual flight tests. The method is fast, efficient, automatic, provides clean frequency and damping rate spectra for flutter modes, and reconstructs the spatial distribution of modes on the aircraft surface. It offers valuable insights for predicting flutter and is suitable for real-time analysis of flight test data.