Real-time flutter identification with close mode resolutionReal-time flutter prediction including close modes can be effectively estimated from turbulence or on-board excitation with an Extended Kalman Filter (EKF) approach. A physically based model form enables prediction of the damping rate as well as damping, giving a time to instability estimate with its variance. The approach is recursive and can operate asynchronously to drop data outliers and hence is quite robust. Its speed is reasonable for on-line application but can also be used effectively as an off-line analysis tool for application to any modal testing situation.
Document ID
19860062916
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Roy, R. H. (Integrated Systems, Inc. Palo Alto, CA, United States)
Walker, R. A. (Integrated Systems, Inc. Palo Alto, CA, United States)
Gilyard, G. B. (NASA Flight Research Center Edwards, CA, United States)