Abstract
This paper describes the results of initial experiments using polynomial neural network based feedback control to reduce flow-induced vibration in aircraft panels due to turbulent boundary layer/structural interaction. The experiments consist of computer simulations used to develop and analyze feedback control strategies to reduce vibration in a beam subjected to turbulent and transitional boundary layers. The experiments suggest that significant suppression of flow-induced vibration can be accomplished through this technique.
| Original language | English (US) |
|---|---|
| Title of host publication | Active Control of Noise and Vibration - 1992 |
| Publisher | Publ by ASME |
| Pages | 33-46 |
| Number of pages | 14 |
| Volume | 38 |
| ISBN (Print) | 0791810933 |
| State | Published - Dec 1 1992 |
| Externally published | Yes |
| Event | Winter Annual Meeting of the American Society of Mechanical Engineers - Anaheim, CA, USA Duration: Nov 8 1992 → Nov 13 1992 |
Other
| Other | Winter Annual Meeting of the American Society of Mechanical Engineers |
|---|---|
| City | Anaheim, CA, USA |
| Period | 11/8/92 → 11/13/92 |
All Science Journal Classification (ASJC) codes
- Software
- Mechanical Engineering
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Parker, B. E., & Poor, H. V. (1992). Adaptive nonlinear polynomial neural networks for control of boundary layer/structural interaction. In Active Control of Noise and Vibration - 1992 (Vol. 38, pp. 33-46). Publ by ASME.