ANFIS active vibration control of flexible beam structures

This paper presents the development of an adaptive neuro-fuzzy inference system (ANFIS) controller for vibration control of flexible beam structures. ANFIS constructs a fuzzy inference system (FIS) whose membership function parameters are tuned (adjusted) using the backpropagation algorithm and leas...

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Main Authors: Mohd. Hashim, Siti zaiton, Tokhi, Mohammad Osman
Format: Book Section
Published: ASME 2004
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Online Access:http://eprints.utm.my/id/eprint/12851/
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spelling my.utm.128512017-10-04T04:50:36Z http://eprints.utm.my/id/eprint/12851/ ANFIS active vibration control of flexible beam structures Mohd. Hashim, Siti zaiton Tokhi, Mohammad Osman TA Engineering (General). Civil engineering (General) This paper presents the development of an adaptive neuro-fuzzy inference system (ANFIS) controller for vibration control of flexible beam structures. ANFIS constructs a fuzzy inference system (FIS) whose membership function parameters are tuned (adjusted) using the backpropagation algorithm and least squares method. This allows the fuzzy system to learn from the data modeling. To allow the non-linear dynamics of the system be incorporated within the design, a pseudo random binary signal (PRBS) covering the dynamic range of interest of the system is used to train the ANFIS model, which gives good output prediction. Simulation results showing the performance of the developed control scheme in vibration suppression of flexible beam structures, with changes in the excitation signal, are presented and discussed. ASME 2004 Book Section PeerReviewed Mohd. Hashim, Siti zaiton and Tokhi, Mohammad Osman (2004) ANFIS active vibration control of flexible beam structures. In: ASME 7th Biennial Conference on Engineering Systems Design and Analysis (ESDA2004). ASME, pp. 747-752. ISBN 0-7918-4173-1 doi:10.1115/ESDA2004-58204
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Mohd. Hashim, Siti zaiton
Tokhi, Mohammad Osman
ANFIS active vibration control of flexible beam structures
description This paper presents the development of an adaptive neuro-fuzzy inference system (ANFIS) controller for vibration control of flexible beam structures. ANFIS constructs a fuzzy inference system (FIS) whose membership function parameters are tuned (adjusted) using the backpropagation algorithm and least squares method. This allows the fuzzy system to learn from the data modeling. To allow the non-linear dynamics of the system be incorporated within the design, a pseudo random binary signal (PRBS) covering the dynamic range of interest of the system is used to train the ANFIS model, which gives good output prediction. Simulation results showing the performance of the developed control scheme in vibration suppression of flexible beam structures, with changes in the excitation signal, are presented and discussed.
format Book Section
author Mohd. Hashim, Siti zaiton
Tokhi, Mohammad Osman
author_facet Mohd. Hashim, Siti zaiton
Tokhi, Mohammad Osman
author_sort Mohd. Hashim, Siti zaiton
title ANFIS active vibration control of flexible beam structures
title_short ANFIS active vibration control of flexible beam structures
title_full ANFIS active vibration control of flexible beam structures
title_fullStr ANFIS active vibration control of flexible beam structures
title_full_unstemmed ANFIS active vibration control of flexible beam structures
title_sort anfis active vibration control of flexible beam structures
publisher ASME
publishDate 2004
url http://eprints.utm.my/id/eprint/12851/
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score 13.15806