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Proceedings Paper

Active control of wind-tunnel model aeroelastic response using neural networks
Author(s): Robert C. Scott
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Paper Abstract

Under a joint research and development effort conducted by the National Aeronautics and Space Administration and the Boeing Company three neural-network based control system were developed and tested. The control system were experimentally evaluate using a transonic wind-tunnel model in the Langley Transonic Dynamics Tunnel. One system used a neural network to schedule flutter suppression control laws, another employed a neural network to schedule flutter suppression control laws, another employed a neural network in a predicative control scheme, and the third employed a neural network in an inverse model control scheme. All three of these control schemes successfully suppressed flutter to or near the limits of the testing apparatus, and represent the first experimental applications of neural networks to flutter suppression. This paper will summarize the findings of this project.

Paper Details

Date Published: 12 June 2000
PDF: 12 pages
Proc. SPIE 3991, Smart Structures and Materials 2000: Industrial and Commercial Applications of Smart Structures Technologies, (12 June 2000); doi: 10.1117/12.388166
Show Author Affiliations
Robert C. Scott, NASA Langley Research Ctr. (United States)


Published in SPIE Proceedings Vol. 3991:
Smart Structures and Materials 2000: Industrial and Commercial Applications of Smart Structures Technologies
Jack H. Jacobs, Editor(s)

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