Adaptive nonlinear polynomial neural networks for control of boundary layer/structural interaction

B. Eugene Parker, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publicationActive Control of Noise and Vibration - 1992
PublisherPubl by ASME
Pages33-46
Number of pages14
Volume38
ISBN (Print)0791810933
StatePublished - Dec 1 1992
Externally publishedYes
EventWinter Annual Meeting of the American Society of Mechanical Engineers - Anaheim, CA, USA
Duration: Nov 8 1992Nov 13 1992

Other

OtherWinter Annual Meeting of the American Society of Mechanical Engineers
CityAnaheim, CA, USA
Period11/8/9211/13/92

All Science Journal Classification (ASJC) codes

  • Software
  • Mechanical Engineering

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  • Cite this

    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.