Flutter Boundary Prediction Based on Jury's Stability Criterion: A Review

Abstract

This paper reviews the flutter boundary prediction based on Jury’s stability criterion in the discrete-time domain accompanied with the use of th e autoregressive moving-average (ARMA) process of a sampled sequence of wing response exci ted by air turbulence and the parameter identification techniques for the coefficients of t he ARMA process. The application of the flutter margin for the discrete-time system (FMDS) only applicable to a binary-mode case founded on the Jury criterion is also reviewed. An extension of FM DS to a multi-mode system and a nonstationary approach for flutter tests in which the dynamic pre ssure increased uniformly are mentioned. The application of the concept of the nonstationary app roach for ordinary wings to the prediction of flutt er of a smart morphing wing for which the instability could take place during the process of adaptive morphing will also be reviewed. Comparisons between the prediction based on the digital techniques mentioned above and the traditional damping method will be given.