Adaptive neuro fuzzy modelling and vibration control of flexible structure

Flexible plate structures have broad applications, ranging from industrial area to space technology. The demand for thin, flexible plate structure has rapidly increased due to industrial evolutions. However, this type of structure leads to high vibration. There are numerous research and study that h...

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Main Author:	Ismail, Ahmad Yusri
Format:	Thesis
Language:	English
Published:	2006
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/12187/1/AhmadYusriIsmailMFKM2006.pdf
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id	my-utm-ep.12187
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spelling	my-utm-ep.121872018-09-17T03:46:56Z Adaptive neuro fuzzy modelling and vibration control of flexible structure 2006-05 Ismail, Ahmad Yusri TJ Mechanical engineering and machinery Flexible plate structures have broad applications, ranging from industrial area to space technology. The demand for thin, flexible plate structure has rapidly increased due to industrial evolutions. However, this type of structure leads to high vibration. There are numerous research and study that have been conducted to analyze this problem. The aim of this study is to develop a model characterizing the vibration of a 2-dimensional flexible plate using adaptive neuro-fuzzy inference system (ANFIS). In order to construct the model, sets of data were obtained from numerical analysis. Finite difference method was implemented to discretize the dynamic equation of the plate to finite difference equations. Simulation algorithm was then developed and implemented within the MATLAB environment. The results obtained were validated by comparing the first five frequency parameters with values from other researchers. The sets of data obtained were utilized to develop ARX model and ANFIS model. Then, single-input single-output active vibration controller (SISO-AVC) was devised based on recursive least squares (RLS) algorithm and ANFIS algorithm. The performance of these systems was assessed. The results suggest that ANFIS model is a good tool in system modeling and vibration control. ANFIS-AVC scheme significantly lower the vibration compared to RLS algorithm. 2006-05 Thesis http://eprints.utm.my/id/eprint/12187/ http://eprints.utm.my/id/eprint/12187/1/AhmadYusriIsmailMFKM2006.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Mechanical Engineering Faculty of Mechanical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Ismail, Ahmad Yusri Adaptive neuro fuzzy modelling and vibration control of flexible structure
description	Flexible plate structures have broad applications, ranging from industrial area to space technology. The demand for thin, flexible plate structure has rapidly increased due to industrial evolutions. However, this type of structure leads to high vibration. There are numerous research and study that have been conducted to analyze this problem. The aim of this study is to develop a model characterizing the vibration of a 2-dimensional flexible plate using adaptive neuro-fuzzy inference system (ANFIS). In order to construct the model, sets of data were obtained from numerical analysis. Finite difference method was implemented to discretize the dynamic equation of the plate to finite difference equations. Simulation algorithm was then developed and implemented within the MATLAB environment. The results obtained were validated by comparing the first five frequency parameters with values from other researchers. The sets of data obtained were utilized to develop ARX model and ANFIS model. Then, single-input single-output active vibration controller (SISO-AVC) was devised based on recursive least squares (RLS) algorithm and ANFIS algorithm. The performance of these systems was assessed. The results suggest that ANFIS model is a good tool in system modeling and vibration control. ANFIS-AVC scheme significantly lower the vibration compared to RLS algorithm.
format	Thesis
qualification_level	Master's degree
author	Ismail, Ahmad Yusri
author_facet	Ismail, Ahmad Yusri
author_sort	Ismail, Ahmad Yusri
title	Adaptive neuro fuzzy modelling and vibration control of flexible structure
title_short	Adaptive neuro fuzzy modelling and vibration control of flexible structure
title_full	Adaptive neuro fuzzy modelling and vibration control of flexible structure
title_fullStr	Adaptive neuro fuzzy modelling and vibration control of flexible structure
title_full_unstemmed	Adaptive neuro fuzzy modelling and vibration control of flexible structure
title_sort	adaptive neuro fuzzy modelling and vibration control of flexible structure
granting_institution	Universiti Teknologi Malaysia, Faculty of Mechanical Engineering
granting_department	Faculty of Mechanical Engineering
publishDate	2006
url	http://eprints.utm.my/id/eprint/12187/1/AhmadYusriIsmailMFKM2006.pdf
_version_	1747814903229448192

Adaptive neuro fuzzy modelling and vibration control of flexible structure

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