Real-Time Adaptive Identification and Prediction of Flutter
Real-Time Adaptive Identification and Prediction
Scientific Systems, Inc.
500 West Cummings Park Suite 3950
Woburn, MA 01801
The existing methods for the identification and predication of flutter damping characteristics
are not sufficiently accurate or fast enough for real-time wind tunnel or flight
testing. The objective of this project is to demonstrate that recent developments
in system identification and model structure determination can be developed into
reliable and automatic software on microprocessors for the identification, tracking,
and prediction of changing flutter characteristics. Demonstration of feasibility
includes modifying system-identification and structure-determination algorithms to
handle changing systems, applying simultaneous confidence bands for prediction of
flutter damping characteristics, testing the modified algorithms with flutter data,
and evaluating computational and storage requirements for microprocessor implementation.
The anticipated results are the demonstration of an algorithm suitable for microprocessor
implementation which reliably and automatically identifies, tracks, and predicts
the changing flutter dynamics.
Potential Commercial Application:
Potential Commercial Applications: Possible applications for the technology are in
chemical process control, control and identification of power plants, and adaptive
control in industrial manufacturing.