Staff View: Modeling flexible plate structure system with free-free-clamped-clamped (FFCC) edges using particle swarm optimization

Modeling flexible plate structure system with free-free-clamped-clamped (FFCC) edges using particle swarm optimization

This paper presents the performance of system identification for rectangular flexible plate using conventional parametric modeling approach by Recursive Least Squares (RLS) and intelligent parametric modeling approach by Particle swarm Optimization (PSO). The experimental rig of rectangular flexible...

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Main Authors:	Hadi, M. S., Mat Darus, I. Z., Yatim, H.
Format:	Conference or Workshop Item
Published:	2013
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/51172/ http://dx.doi.org/10.1109/ISCI.2013.6612372
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id	my.utm.51172
record_format	eprints
spelling	my.utm.511722017-09-13T07:56:53Z http://eprints.utm.my/id/eprint/51172/ Modeling flexible plate structure system with free-free-clamped-clamped (FFCC) edges using particle swarm optimization Hadi, M. S. Mat Darus, I. Z. Yatim, H. TJ Mechanical engineering and machinery This paper presents the performance of system identification for rectangular flexible plate using conventional parametric modeling approach by Recursive Least Squares (RLS) and intelligent parametric modeling approach by Particle swarm Optimization (PSO). The experimental rig of rectangular flexible plate with free-free-clamped-clamped edges boundary condition designed and fabricated in this research. The experimental study was conducted to collect the input-output data using a vibration flexible plate complete with data acquisition and instrumentation system. The input-output data will be used during developed the system identification. The whole developed model using RLS and PSO were validated using mean squares error (MSE), one step ahead prediction (OSA) and correlation test. The estimated of developed models was found are comparable, acceptable and possible to be used as a platform of controller development later on. As a comparison between developed system, it was found that the Particle Swarm Optimization algorithm has perform better in term of the lowest mean squares error which is 0.00032719. 2013 Conference or Workshop Item PeerReviewed Hadi, M. S. and Mat Darus, I. Z. and Yatim, H. (2013) Modeling flexible plate structure system with free-free-clamped-clamped (FFCC) edges using particle swarm optimization. In: IEEE Symposium on Computers and Informatics, ISCI 2013. http://dx.doi.org/10.1109/ISCI.2013.6612372
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	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Hadi, M. S. Mat Darus, I. Z. Yatim, H. Modeling flexible plate structure system with free-free-clamped-clamped (FFCC) edges using particle swarm optimization
description	This paper presents the performance of system identification for rectangular flexible plate using conventional parametric modeling approach by Recursive Least Squares (RLS) and intelligent parametric modeling approach by Particle swarm Optimization (PSO). The experimental rig of rectangular flexible plate with free-free-clamped-clamped edges boundary condition designed and fabricated in this research. The experimental study was conducted to collect the input-output data using a vibration flexible plate complete with data acquisition and instrumentation system. The input-output data will be used during developed the system identification. The whole developed model using RLS and PSO were validated using mean squares error (MSE), one step ahead prediction (OSA) and correlation test. The estimated of developed models was found are comparable, acceptable and possible to be used as a platform of controller development later on. As a comparison between developed system, it was found that the Particle Swarm Optimization algorithm has perform better in term of the lowest mean squares error which is 0.00032719.
format	Conference or Workshop Item
author	Hadi, M. S. Mat Darus, I. Z. Yatim, H.
author_facet	Hadi, M. S. Mat Darus, I. Z. Yatim, H.
author_sort	Hadi, M. S.
title	Modeling flexible plate structure system with free-free-clamped-clamped (FFCC) edges using particle swarm optimization
title_short	Modeling flexible plate structure system with free-free-clamped-clamped (FFCC) edges using particle swarm optimization
title_full	Modeling flexible plate structure system with free-free-clamped-clamped (FFCC) edges using particle swarm optimization
title_fullStr	Modeling flexible plate structure system with free-free-clamped-clamped (FFCC) edges using particle swarm optimization
title_full_unstemmed	Modeling flexible plate structure system with free-free-clamped-clamped (FFCC) edges using particle swarm optimization
title_sort	modeling flexible plate structure system with free-free-clamped-clamped (ffcc) edges using particle swarm optimization
publishDate	2013
url	http://eprints.utm.my/id/eprint/51172/ http://dx.doi.org/10.1109/ISCI.2013.6612372
_version_	1643652960946749440
score	13.211869

Modeling flexible plate structure system with free-free-clamped-clamped (FFCC) edges using particle swarm optimization

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