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

B. Eugene Parker; H. Vincent Poor

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

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 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

Cite this

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title = "Adaptive nonlinear polynomial neural networks for control of boundary layer/structural interaction",

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.",

author = "Parker, {B. Eugene} and Poor, {H. Vincent}",

year = "1992",

month = dec,

day = "1",

language = "English (US)",

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volume = "38",

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note = "Winter Annual Meeting of the American Society of Mechanical Engineers ; Conference date: 08-11-1992 Through 13-11-1992",

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AU - Parker, B. Eugene

AU - Poor, H. Vincent

PY - 1992/12/1

Y1 - 1992/12/1

N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:0026962792

SN - 0791810933

VL - 38

SP - 33

EP - 46

BT - Active Control of Noise and Vibration - 1992

PB - Publ by ASME

T2 - Winter Annual Meeting of the American Society of Mechanical Engineers

Y2 - 8 November 1992 through 13 November 1992

ER -

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

Abstract

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All Science Journal Classification (ASJC) codes

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