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Active control of wind-tunnel model aeroelastic response using neural networks
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Scott, Robert C. |
| Copyright Year | 2000 |
| Description | NASA Langley Research Center, Hampton, VA 23681 Under a joint research and development effort conducted by the National Aeronautics and Space Administration and The Boeing Company (formerly McDonnell Douglas) three neural-network based control systems were developed and tested. The control systems were experimentally evaluated 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 in a predictive 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. |
| File Size | 1034052 |
| File Format | |
| Language | English |
| Publisher Date | 2000-03-01 |
| Access Restriction | Open |
| Subject Keyword | Aircraft Design, Testing And Performance Vibration Damping Neural Nets Transonic Wind Tunnels Network Control Wind Tunnel Models Flutter Analysis Control Theory Aeroelasticity Active Control Adaptive Control Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
