Non-parametric neuro-model of a flexible beam structure
In this paper, the development of dynamic model of flexible cantilever (fixed-free) beam in transverse motion using FD approach is presented. Validation using theoretical value is carried out in order to ensure the reliability of the developed FD algorithm. Next, system identification using non-para...
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| Format: | Conference or Workshop Item |
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2013
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| _version_ | 1796859594360750080 |
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| author | Jalil, N. A. Mat Darus, I. Z. |
| author_facet | Jalil, N. A. Mat Darus, I. Z. |
| author_sort | Jalil, N. A. |
| collection | ePrints |
| description | In this paper, the development of dynamic model of flexible cantilever (fixed-free) beam in transverse motion using FD approach is presented. Validation using theoretical value is carried out in order to ensure the reliability of the developed FD algorithm. Next, system identification using non-parametric Neural Network (NN) methods: Multilayer Perceptron (MLP) and ELMAN networks are developed. To suppress the unwanted vibration, simulated case studies of AVC using P and PI control schemes are investigated. Results demonstrate that PI control methods outperformed P controller in cancelling the vibration. |
| first_indexed | 2024-03-05T19:29:28Z |
| format | Conference or Workshop Item |
| id | utm.eprints-51196 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:29:28Z |
| publishDate | 2013 |
| record_format | dspace |
| spelling | utm.eprints-511962017-09-13T07:58:21Z http://eprints.utm.my/51196/ Non-parametric neuro-model of a flexible beam structure Jalil, N. A. Mat Darus, I. Z. TJ Mechanical engineering and machinery In this paper, the development of dynamic model of flexible cantilever (fixed-free) beam in transverse motion using FD approach is presented. Validation using theoretical value is carried out in order to ensure the reliability of the developed FD algorithm. Next, system identification using non-parametric Neural Network (NN) methods: Multilayer Perceptron (MLP) and ELMAN networks are developed. To suppress the unwanted vibration, simulated case studies of AVC using P and PI control schemes are investigated. Results demonstrate that PI control methods outperformed P controller in cancelling the vibration. 2013 Conference or Workshop Item PeerReviewed Jalil, N. A. and Mat Darus, I. Z. (2013) Non-parametric neuro-model of a flexible beam structure. In: IEEE Symposium on Computers and Informatics, ISCI 2013. http://dx.doi.org/10.1109/ISCI.2013.6612373 |
| spellingShingle | TJ Mechanical engineering and machinery Jalil, N. A. Mat Darus, I. Z. Non-parametric neuro-model of a flexible beam structure |
| title | Non-parametric neuro-model of a flexible beam structure |
| title_full | Non-parametric neuro-model of a flexible beam structure |
| title_fullStr | Non-parametric neuro-model of a flexible beam structure |
| title_full_unstemmed | Non-parametric neuro-model of a flexible beam structure |
| title_short | Non-parametric neuro-model of a flexible beam structure |
| title_sort | non parametric neuro model of a flexible beam structure |
| topic | TJ Mechanical engineering and machinery |
| work_keys_str_mv | AT jalilna nonparametricneuromodelofaflexiblebeamstructure AT matdarusiz nonparametricneuromodelofaflexiblebeamstructure |