Real-time flutter boundary prediction based on time series models

Wenjing Gu; Li Zhou

doi:10.1117/12.2301217

27 March 2018 Real-time flutter boundary prediction based on time series models

Wenjing Gu, Li Zhou

Proceedings Volume 10599, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XII; 105992I (2018) https://doi.org/10.1117/12.2301217
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2018, Denver, Colorado, United States

Abstract

For the purpose of predicting the flutter boundary in real time during flutter flight tests, two time series models accompanied with corresponding stability criterion are adopted in this paper. The first method simplifies a long nonstationary response signal as many contiguous intervals and each is considered to be stationary. The traditional AR model is then established to represent each interval of signal sequence. While the second employs a time-varying AR model to characterize actual measured signals in flutter test with progression variable speed (FTPVS). To predict the flutter boundary, stability parameters are formulated by the identified AR coefficients combined with Jury’s stability criterion. The behavior of the parameters is examined using both simulated and wind-tunnel experiment data. The results demonstrate that both methods show significant effectiveness in predicting the flutter boundary at lower speed level. A comparison between the two methods is also given in this paper.

Citation Download Citation

Wenjing Gu and Li Zhou "Real-time flutter boundary prediction based on time series models", Proc. SPIE 10599, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XII, 105992I (27 March 2018); https://doi.org/10.1117/12.2301217

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