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...
| Main Authors: | , , , , , |
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| Format: | Article |
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Extrica
2021
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| Online Access: | http://psasir.upm.edu.my/id/eprint/94225/ |
| _version_ | 1848861940400521216 |
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| 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 |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T13:09:07Z |
| format | Article |
| id | upm-94225 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:09:07Z |
| publishDate | 2021 |
| publisher | Extrica |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-942252023-05-09T01:31:31Z http://psasir.upm.edu.my/id/eprint/94225/ 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 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 2021-06-23 Article PeerReviewed 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). 810 - 822. ISSN 1392-8716; ESSN: 2538-8460 https://www.extrica.com/article/21730 10.21595/jve.2020.21730 |
| spellingShingle | 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 |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/94225/ http://psasir.upm.edu.my/id/eprint/94225/ http://psasir.upm.edu.my/id/eprint/94225/ |