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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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Main Authors: Jalil, N. A., Mat Darus, I. Z.
Format: Conference or Workshop Item
Published: 2013
Subjects:
TJ Mechanical engineering and machinery
Online Access:http://eprints.utm.my/id/eprint/51196/
http://dx.doi.org/10.1109/ISCI.2013.6612373
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spelling my.utm.511962017-09-13T07:58:21Z http://eprints.utm.my/id/eprint/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
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
Jalil, N. A.
Mat Darus, I. Z.
Non-parametric neuro-model of a flexible beam structure
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.
format Conference or Workshop Item
author Jalil, N. A.
Mat Darus, I. Z.
author_facet Jalil, N. A.
Mat Darus, I. Z.
author_sort Jalil, N. A.
title Non-parametric neuro-model of a flexible beam structure
title_short 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_sort non-parametric neuro-model of a flexible beam structure
publishDate 2013
url http://eprints.utm.my/id/eprint/51196/
http://dx.doi.org/10.1109/ISCI.2013.6612373
_version_ 1643652968888664064
score 13.160551

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