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Modelling of flexible beam based on ant colony optimization and cuckoo search algorithms

Flexible beam structure is usually applied in various fields of engineering and industrial. There are few points of interest using flexible structure and one of the advantages is that its lighter compared to a rigid structure. Besides that, flexible beam also can save cost, reduce energy consumption...

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Main Authors:	Ali, Siti Khadijah, Fadzilan, Mohamad Faisal, Shaari, Aida Nur Syafiqah, Hadi, Muhamad Sukri, Ting, Rickey Pek Eek, Mat Darus, Intan Zaurah
Format:	Article
Language:	English
Published:	EXTRICA 2021
Subjects:	TJ Mechanical engineering and machinery
Online Access:	http://eprints.utm.my/id/eprint/97721/1/IntanZaurah2021_ModellingOfFlexibleBeamBasedOnAntColonyOptimization.pdf http://eprints.utm.my/id/eprint/97721/ http://dx.doi.org/10.21595/JVE.2020.21730
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spelling	my.utm.977212022-10-31T06:19:43Z http://eprints.utm.my/id/eprint/97721/ Modelling of flexible beam based on ant colony optimization and cuckoo search algorithms Ali, Siti Khadijah Fadzilan, Mohamad Faisal Shaari, Aida Nur Syafiqah Hadi, Muhamad Sukri Ting, Rickey Pek Eek Mat Darus, Intan Zaurah TJ Mechanical engineering and machinery Flexible beam structure is usually applied in various fields of engineering and industrial. There are few points of interest using flexible structure and one of the advantages is that its lighter compared to a rigid structure. Besides that, flexible beam also can save cost, reduce energy consumption, and improve operation safety. However, flexible beam structures are too sensitive and susceptible to with unwanted vibration that would cause damage or degradation to the structure system. Hence, to overcome the problem, appropriate modelling and controller for such systems should be developed. Currently, there are plenty of methods that have been developed by researchers to suppress undesired vibration. Based on previous studies, most researchers nowadays use system identification (SI) as a modelling technique to develop a dynamic model of flexible structure via swarm intelligence algorithm (SIA). Therefore, two type of algorithms was used in this work for modelling development of flexible beam structure, which are ant colony optimization (ACO) and cuckoo search algorithm (CSA). Based on the comparative results, CSA achieved the lowest mean square error (MSE) value of 6.1547×10-9 meanwhile ACO recorded a MSE of 1.0728×10-8. Moreover, CSA was deduced to be the best model for flexible beam structure because it achieved 95 % confidence level in correlation test and has excellent stability in pole-zero diagram system. Thus, CSA is a suitable algorithm to represent the real behavior of flexible beam structure in a system. EXTRICA 2021 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/97721/1/IntanZaurah2021_ModellingOfFlexibleBeamBasedOnAntColonyOptimization.pdf Ali, Siti Khadijah and Fadzilan, Mohamad Faisal and Shaari, Aida Nur Syafiqah and Hadi, Muhamad Sukri and Ting, Rickey Pek Eek and Mat Darus, Intan Zaurah (2021) Modelling of flexible beam based on ant colony optimization and cuckoo search algorithms. Journal of Vibroengineering, 23 (4). pp. 810-822. ISSN 1392-8716 http://dx.doi.org/10.21595/JVE.2020.21730 DOI : 10.21595/JVE.2020.21730
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/
language	English
topic	TJ Mechanical engineering and machinery
spellingShingle	TJ Mechanical engineering and machinery Ali, Siti Khadijah Fadzilan, Mohamad Faisal Shaari, Aida Nur Syafiqah Hadi, Muhamad Sukri Ting, Rickey Pek Eek Mat Darus, Intan Zaurah Modelling of flexible beam based on ant colony optimization and cuckoo search algorithms
description	Flexible beam structure is usually applied in various fields of engineering and industrial. There are few points of interest using flexible structure and one of the advantages is that its lighter compared to a rigid structure. Besides that, flexible beam also can save cost, reduce energy consumption, and improve operation safety. However, flexible beam structures are too sensitive and susceptible to with unwanted vibration that would cause damage or degradation to the structure system. Hence, to overcome the problem, appropriate modelling and controller for such systems should be developed. Currently, there are plenty of methods that have been developed by researchers to suppress undesired vibration. Based on previous studies, most researchers nowadays use system identification (SI) as a modelling technique to develop a dynamic model of flexible structure via swarm intelligence algorithm (SIA). Therefore, two type of algorithms was used in this work for modelling development of flexible beam structure, which are ant colony optimization (ACO) and cuckoo search algorithm (CSA). Based on the comparative results, CSA achieved the lowest mean square error (MSE) value of 6.1547×10-9 meanwhile ACO recorded a MSE of 1.0728×10-8. Moreover, CSA was deduced to be the best model for flexible beam structure because it achieved 95 % confidence level in correlation test and has excellent stability in pole-zero diagram system. Thus, CSA is a suitable algorithm to represent the real behavior of flexible beam structure in a system.
format	Article
author	Ali, Siti Khadijah Fadzilan, Mohamad Faisal Shaari, Aida Nur Syafiqah Hadi, Muhamad Sukri Ting, Rickey Pek Eek Mat Darus, Intan Zaurah
author_facet	Ali, Siti Khadijah Fadzilan, Mohamad Faisal Shaari, Aida Nur Syafiqah Hadi, Muhamad Sukri Ting, Rickey Pek Eek Mat Darus, Intan Zaurah
author_sort	Ali, Siti Khadijah
title	Modelling of flexible beam based on ant colony optimization and cuckoo search algorithms
title_short	Modelling of flexible beam based on ant colony optimization and cuckoo search algorithms
title_full	Modelling of flexible beam based on ant colony optimization and cuckoo search algorithms
title_fullStr	Modelling of flexible beam based on ant colony optimization and cuckoo search algorithms
title_full_unstemmed	Modelling of flexible beam based on ant colony optimization and cuckoo search algorithms
title_sort	modelling of flexible beam based on ant colony optimization and cuckoo search algorithms
publisher	EXTRICA
publishDate	2021
url	http://eprints.utm.my/id/eprint/97721/1/IntanZaurah2021_ModellingOfFlexibleBeamBasedOnAntColonyOptimization.pdf http://eprints.utm.my/id/eprint/97721/ http://dx.doi.org/10.21595/JVE.2020.21730
_version_	1748180499040305152
score	13.211869

Modelling of flexible beam based on ant colony optimization and cuckoo search algorithms

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