Parametric system identification and active vibration control of vibrational structures using genetic algorithm

A vibration system has advantages and disadvantages for us. Some of the disadvantages of the vibration system are discomfort, noise, malfunctioning, wear, fatigue and even destruction. An example of structure that leads to high vibration when subjected to disturbance forces is flexible plate structu...

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Main Author:	Mohammad Sofi @ Aziz, Azfi Zaihan
Format:	Thesis
Language:	English
Published:	2007
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/9527/1/AzfiZaihanMFKM2007.pdf
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id	my-utm-ep.9527
record_format	uketd_dc
spelling	my-utm-ep.95272018-09-27T04:11:57Z Parametric system identification and active vibration control of vibrational structures using genetic algorithm 2007-11 Mohammad Sofi @ Aziz, Azfi Zaihan TJ Mechanical engineering and machinery A vibration system has advantages and disadvantages for us. Some of the disadvantages of the vibration system are discomfort, noise, malfunctioning, wear, fatigue and even destruction. An example of structure that leads to high vibration when subjected to disturbance forces is flexible plate structure. The aim of this research is to develop an Auto Regressive with eXogenous Input (ARX) model characterizing the dynamic behaviour of a two-dimensional (2D) flexible plate structure and the development of active vibration control (AVC) strategies for the structures. In order to construct the model, several sets of vibration data were obtained from the simulation of the flexible plate structures based on finite difference method. The sets of data obtained were utilised to develop ARX model using Least Squares (LS), Recursive Least Squares (RLS) and Genetic Algorithm (GA) methods. The models were validated using one step ahead (OSA) prediction, mean squared error (MSE) and correlation tests. Then, single-input single-output active vibration control (SISO-AVC) was devised using thus developed RLS and GA models. The performance of these systems was assessed in terms of comparison between uncontrolled signals, RLS-AVC and GA-AVC controlled signals in time domain, spectral density and attenuation of the signals in decibel (dB). The results show that GA is the best method in system modeling and vibration control of the simulated 2D flexible plate structures compared to RLS and LS. 2007-11 Thesis http://eprints.utm.my/id/eprint/9527/ http://eprints.utm.my/id/eprint/9527/1/AzfiZaihanMFKM2007.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 Mohammad Sofi @ Aziz, Azfi Zaihan Parametric system identification and active vibration control of vibrational structures using genetic algorithm
description	A vibration system has advantages and disadvantages for us. Some of the disadvantages of the vibration system are discomfort, noise, malfunctioning, wear, fatigue and even destruction. An example of structure that leads to high vibration when subjected to disturbance forces is flexible plate structure. The aim of this research is to develop an Auto Regressive with eXogenous Input (ARX) model characterizing the dynamic behaviour of a two-dimensional (2D) flexible plate structure and the development of active vibration control (AVC) strategies for the structures. In order to construct the model, several sets of vibration data were obtained from the simulation of the flexible plate structures based on finite difference method. The sets of data obtained were utilised to develop ARX model using Least Squares (LS), Recursive Least Squares (RLS) and Genetic Algorithm (GA) methods. The models were validated using one step ahead (OSA) prediction, mean squared error (MSE) and correlation tests. Then, single-input single-output active vibration control (SISO-AVC) was devised using thus developed RLS and GA models. The performance of these systems was assessed in terms of comparison between uncontrolled signals, RLS-AVC and GA-AVC controlled signals in time domain, spectral density and attenuation of the signals in decibel (dB). The results show that GA is the best method in system modeling and vibration control of the simulated 2D flexible plate structures compared to RLS and LS.
format	Thesis
qualification_level	Master's degree
author	Mohammad Sofi @ Aziz, Azfi Zaihan
author_facet	Mohammad Sofi @ Aziz, Azfi Zaihan
author_sort	Mohammad Sofi @ Aziz, Azfi Zaihan
title	Parametric system identification and active vibration control of vibrational structures using genetic algorithm
title_short	Parametric system identification and active vibration control of vibrational structures using genetic algorithm
title_full	Parametric system identification and active vibration control of vibrational structures using genetic algorithm
title_fullStr	Parametric system identification and active vibration control of vibrational structures using genetic algorithm
title_full_unstemmed	Parametric system identification and active vibration control of vibrational structures using genetic algorithm
title_sort	parametric system identification and active vibration control of vibrational structures using genetic algorithm
granting_institution	Universiti Teknologi Malaysia, Faculty of Mechanical Engineering
granting_department	Faculty of Mechanical Engineering
publishDate	2007
url	http://eprints.utm.my/id/eprint/9527/1/AzfiZaihanMFKM2007.pdf
_version_	1747814747229650944

Parametric system identification and active vibration control of vibrational structures using genetic algorithm

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