A research to predict flutter margin from experimental signals has been conducted in JAXA. Some signal processing methods has been tried: e.g., the Peak-Hold method, the Random Decrement, RD, method, and the Auto-Regressive Moving Average, ARMA, method. Recently, we tried to apply the Eigen-system Realization Algorithm, ERA, method instead of the ARMA. The discrete flutter margin, Fz, was calculated with the ERA identified system model, and the flutter condition was predicted with the set of Fz. Adding to this process, we used the RD technique to pre-process the system output signal. As a result, the Fz calculated by the present method agrees well with that calculated by the ARMA method. In addition, the present method can also process faster than the ARMA method.
Development of flutter margin prediction program
9TH INTERNATIONAL CONFERENCE ON MATHEMATICAL PROBLEMS IN ENGINEERING, AEROSPACE AND SCIENCES: ICNPAA 2012 ; 2012 ; Vienna, Austria
AIP Conference Proceedings ; 1493 , 1 ; 1028-1033
06.11.2012
6 pages
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Development of flutter margin prediction program
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