Several methods have been formulated to predict the onset of utter during ight testing. These methods have been demonstrated using data from simulations; however, a rigorous evaluation that includes data from ight testing must be performed. The ability of several methods to predict the onset of utter by analyzing data from ight tests of the aerostructures test wing is evaluated. The evaluated methods include data-based approaches that use damping extrapolation, an envelope function, the Zimmerman–Weissenburger utter margin, and a discretetime autoregressive moving-average model. Also, a model-based approach that uses the 1-method utterometer is evaluated. The data-based methods are demonstrated to be unable to predict utter accurately using data from low-speed test points, but converge to the accurate solution as airspeed is increased. Conversely, the utterometer is demonstrated to be immediatelyconservative using data from low-speed test points, but these predictions remain conservative and do not converge to the true utter speed as the envelope is expanded. The operation of a ight test should note the properties of each method to perhaps adjust test points based on the predicted utter margins.
[1]
Yuji Matsuzaki,et al.
Flutter Margin Evaluation for Discrete-Time Systems
,
2001
.
[2]
Jonathan E. Cooper,et al.
Flutter Prediction from Flight Flutter Test Data
,
2001
.
[3]
N. H. Zimmerman,et al.
Prediction of flutter onset speed based on flight testing at subcritical speeds
,
1963
.
[4]
Yuji Matsuzaki,et al.
Estimation of flutter boundary from random responses due to turbulence at subcritical speeds
,
1981
.
[5]
Marty Brenner,et al.
Flutterometer: An On-Line Tool to Predict Robust Flutter Margins
,
2000
.
[6]
Yuji Matsuzaki,et al.
Flutter Boundary Prediction Based on Nonstationary Data Measurement
,
1997
.
[7]
Michael W. Kehoe,et al.
A historical overview of flight flutter testing
,
1995
.
[8]
R. M. Bennett.
Application of Zimmerman flutter-margin criterion to a wind tunnel model
,
1982
.
[9]
S. J. Price,et al.
Evaluation and Extension of the Flutter-Margin Method for Flight Flutter Prediction
,
1993
.
[10]
J. E. Cooper,et al.
Envelope function - A tool for analyzing flutter data
,
1993
.