Neural Network Identification and Control of a Parametrically Excited Structural Dynamic Model of an F-15 Tail Section

We investigated the design of a neural-network-based adaptive control system for a smart structural dynamic model of the twin tails of an F-15 tail section. A neural network controller was developed and tested in computer simulation for active vibration suppression of the model subjected to parametr...

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Main Authors: Ayman A. El-Badawy, Ali H. Nayfeh, Hugh Van Landingham
Format: Article
Language:English
Published: Wiley 2000-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2000/530231
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author Ayman A. El-Badawy
Ali H. Nayfeh
Hugh Van Landingham
author_facet Ayman A. El-Badawy
Ali H. Nayfeh
Hugh Van Landingham
author_sort Ayman A. El-Badawy
collection DOAJ
description We investigated the design of a neural-network-based adaptive control system for a smart structural dynamic model of the twin tails of an F-15 tail section. A neural network controller was developed and tested in computer simulation for active vibration suppression of the model subjected to parametric excitation. First, an emulator neural network was trained to represent the structure to be controlled and thus used in predicting the future responses of the model. Second, a neurocontroller to determine the necessary control action on the structure was developed. The control was implemented through the application of a smart material actuator. A strain gauge sensor was assumed to be on each tail. Results from computer-simulation studies have shown great promise for control of the vibration of the twin tails under parametric excitation using artificial neural networks.
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series Shock and Vibration
spelling doaj-art-9d74286b13bf4a02af5a3e96d8038d4c2025-08-20T02:20:17ZengWileyShock and Vibration1070-96221875-92032000-01-017635536110.1155/2000/530231Neural Network Identification and Control of a Parametrically Excited Structural Dynamic Model of an F-15 Tail SectionAyman A. El-Badawy0Ali H. Nayfeh1Hugh Van Landingham2Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USAVirginia Polytechnic Institute and State University, Blacksburg, VA 24061, USAVirginia Polytechnic Institute and State University, Blacksburg, VA 24061, USAWe investigated the design of a neural-network-based adaptive control system for a smart structural dynamic model of the twin tails of an F-15 tail section. A neural network controller was developed and tested in computer simulation for active vibration suppression of the model subjected to parametric excitation. First, an emulator neural network was trained to represent the structure to be controlled and thus used in predicting the future responses of the model. Second, a neurocontroller to determine the necessary control action on the structure was developed. The control was implemented through the application of a smart material actuator. A strain gauge sensor was assumed to be on each tail. Results from computer-simulation studies have shown great promise for control of the vibration of the twin tails under parametric excitation using artificial neural networks.http://dx.doi.org/10.1155/2000/530231
spellingShingle Ayman A. El-Badawy
Ali H. Nayfeh
Hugh Van Landingham
Neural Network Identification and Control of a Parametrically Excited Structural Dynamic Model of an F-15 Tail Section
Shock and Vibration
title Neural Network Identification and Control of a Parametrically Excited Structural Dynamic Model of an F-15 Tail Section
title_full Neural Network Identification and Control of a Parametrically Excited Structural Dynamic Model of an F-15 Tail Section
title_fullStr Neural Network Identification and Control of a Parametrically Excited Structural Dynamic Model of an F-15 Tail Section
title_full_unstemmed Neural Network Identification and Control of a Parametrically Excited Structural Dynamic Model of an F-15 Tail Section
title_short Neural Network Identification and Control of a Parametrically Excited Structural Dynamic Model of an F-15 Tail Section
title_sort neural network identification and control of a parametrically excited structural dynamic model of an f 15 tail section
url http://dx.doi.org/10.1155/2000/530231
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