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Implementation of swarm algorithm in modeling a flexible beam structure

The application of System Identification techniques for modeling a flexible beam structure are presented in this paper. The flexible beam has been widely applied in various fields engineering and industrial. However, the flexible structure is easily influenced by unwanted vibration which may lead to...

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Main Authors:	Ting, Rickey Pek Eek, Mat Darus, Intan Zaurah, Sahlan, Shafishuhaza, Mohd. Samin, Pakharuddin, Shaharuddin, Nik Mohd Ridzuan
Format:	Article
Published:	JVE International LTD 2016
Subjects:	TK Electrical engineering. Electronics Nuclear engineering TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/66648/ https://doi.org/10.21595/jve.2015.15182
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id	my.utm.66648
record_format	eprints
spelling	my.utm.666482017-11-22T00:45:03Z http://eprints.utm.my/id/eprint/66648/ Implementation of swarm algorithm in modeling a flexible beam structure Ting, Rickey Pek Eek Mat Darus, Intan Zaurah Sahlan, Shafishuhaza Mohd. Samin, Pakharuddin Shaharuddin, Nik Mohd Ridzuan TK Electrical engineering. Electronics Nuclear engineering TJ Mechanical engineering and machinery The application of System Identification techniques for modeling a flexible beam structure are presented in this paper. The flexible beam has been widely applied in various fields engineering and industrial. However, the flexible structure is easily influenced by unwanted vibration which may lead to fatigue, performance reduction and structure damage. Thus, the unwanted vibration must be controlled and reduced. In order to have a good controller performance for vibration suppression, an appropriate model of flexible beam is required. Hence, to obtain a model of the flexible beam structure, Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) are implemented in this study as System Identification techniques. The implementation of PSO and ABC requires experimental data input and output retrieved from data acquisition from a well-developed experimental test rig via MATLAB Simulink platform. Results obtained are displayed in graphical plots and numerical values. The predicted model is validated via mean square error (MSE) and correlation tests. To represent the dynamic model of the flexible beam structure, model with minimum MSE value and correlation test within 95 % confidence interval is selected as the best fit model. The result shows that PSO algorithm produces better performance compared to ABC algorithm with a 3rd order predicted model that has lowest MSE value and correlation tests within 95 % confidence interval for the beam system. JVE International LTD 2016-01-12 Article PeerReviewed Ting, Rickey Pek Eek and Mat Darus, Intan Zaurah and Sahlan, Shafishuhaza and Mohd. Samin, Pakharuddin and Shaharuddin, Nik Mohd Ridzuan (2016) Implementation of swarm algorithm in modeling a flexible beam structure. Journal of Vibroengineering, 18 (8). pp. 4914-4934. ISSN 1392-8716 https://doi.org/10.21595/jve.2015.15182 DOI:10.21595/jve.2015.15182
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	TK Electrical engineering. Electronics Nuclear engineering TJ Mechanical engineering and machinery
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering TJ Mechanical engineering and machinery Ting, Rickey Pek Eek Mat Darus, Intan Zaurah Sahlan, Shafishuhaza Mohd. Samin, Pakharuddin Shaharuddin, Nik Mohd Ridzuan Implementation of swarm algorithm in modeling a flexible beam structure
description	The application of System Identification techniques for modeling a flexible beam structure are presented in this paper. The flexible beam has been widely applied in various fields engineering and industrial. However, the flexible structure is easily influenced by unwanted vibration which may lead to fatigue, performance reduction and structure damage. Thus, the unwanted vibration must be controlled and reduced. In order to have a good controller performance for vibration suppression, an appropriate model of flexible beam is required. Hence, to obtain a model of the flexible beam structure, Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) are implemented in this study as System Identification techniques. The implementation of PSO and ABC requires experimental data input and output retrieved from data acquisition from a well-developed experimental test rig via MATLAB Simulink platform. Results obtained are displayed in graphical plots and numerical values. The predicted model is validated via mean square error (MSE) and correlation tests. To represent the dynamic model of the flexible beam structure, model with minimum MSE value and correlation test within 95 % confidence interval is selected as the best fit model. The result shows that PSO algorithm produces better performance compared to ABC algorithm with a 3rd order predicted model that has lowest MSE value and correlation tests within 95 % confidence interval for the beam system.
format	Article
author	Ting, Rickey Pek Eek Mat Darus, Intan Zaurah Sahlan, Shafishuhaza Mohd. Samin, Pakharuddin Shaharuddin, Nik Mohd Ridzuan
author_facet	Ting, Rickey Pek Eek Mat Darus, Intan Zaurah Sahlan, Shafishuhaza Mohd. Samin, Pakharuddin Shaharuddin, Nik Mohd Ridzuan
author_sort	Ting, Rickey Pek Eek
title	Implementation of swarm algorithm in modeling a flexible beam structure
title_short	Implementation of swarm algorithm in modeling a flexible beam structure
title_full	Implementation of swarm algorithm in modeling a flexible beam structure
title_fullStr	Implementation of swarm algorithm in modeling a flexible beam structure
title_full_unstemmed	Implementation of swarm algorithm in modeling a flexible beam structure
title_sort	implementation of swarm algorithm in modeling a flexible beam structure
publisher	JVE International LTD
publishDate	2016
url	http://eprints.utm.my/id/eprint/66648/ https://doi.org/10.21595/jve.2015.15182
_version_	1643655827262799872
score	13.211869

Implementation of swarm algorithm in modeling a flexible beam structure

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