Non-parametric modelling of a rectangular flexible plate structure

This research investigates the performance of dynamic modelling using non-parametric techniques for identification of a flexible structure system for development of active vibration control. In this paper, the implementation details are described and the experimental studies conducted in this resear...

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Main Authors: Mat Darus, Intan Zaurah, Al-Khafaji, Ali A.M.
Format: Article
Published: Elsevier Limited 2012
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Online Access:http://eprints.utm.my/id/eprint/29502/
http://dx.doi.org/ 10.1016/j.engappai.2011.09.009
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.295022019-04-25T01:15:19Z http://eprints.utm.my/id/eprint/29502/ Non-parametric modelling of a rectangular flexible plate structure Mat Darus, Intan Zaurah Al-Khafaji, Ali A.M. TJ Mechanical engineering and machinery This research investigates the performance of dynamic modelling using non-parametric techniques for identification of a flexible structure system for development of active vibration control. In this paper, the implementation details are described and the experimental studies conducted in this research are analysed. The input–output data of the system were first acquired through the experimental studies using National Instruments (NI) data acquisition system. A sinusoidal force was applied to excite the flexible plate and the dynamic response of the system was then investigated. Non-parametric modelling of the system were developed using several artificial intelligent methodologies namely Adaptive Elman Neural Networks (ENN), Backpropagation Multi-layer Perceptron Neural Networks (MLPNN) and Adaptive Neuro-Fuzzy Inference System (ANFIS). The performance of all these methodologies were compared and discussed. Finally, validation and verification of the obtained model was conducted using One Step Ahead (OSA) prediction, mean squared error (MSE) and correlation tests. The prediction ability of the model was further observed with unseen data. The results verified that the MLPNN converge to an optimum solution faster and the dynamic model obtained described the flexible plate structure very well. The non-parametric models of the flexible plate structure thus developed and validated will be used as the representation of the transfer function of the system in subsequent investigations for the development of active vibration control strategies for vibration suppression in flexible structures. Elsevier Limited 2012-02 Article PeerReviewed Mat Darus, Intan Zaurah and Al-Khafaji, Ali A.M. (2012) Non-parametric modelling of a rectangular flexible plate structure. Engineering Applications of Artificial Intelligence, 25 (1). pp. 94-106. ISSN 0952-1976 http://dx.doi.org/ 10.1016/j.engappai.2011.09.009 DOI:10.1016/j.engappai.2011.09.009
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
Mat Darus, Intan Zaurah
Al-Khafaji, Ali A.M.
Non-parametric modelling of a rectangular flexible plate structure
description This research investigates the performance of dynamic modelling using non-parametric techniques for identification of a flexible structure system for development of active vibration control. In this paper, the implementation details are described and the experimental studies conducted in this research are analysed. The input–output data of the system were first acquired through the experimental studies using National Instruments (NI) data acquisition system. A sinusoidal force was applied to excite the flexible plate and the dynamic response of the system was then investigated. Non-parametric modelling of the system were developed using several artificial intelligent methodologies namely Adaptive Elman Neural Networks (ENN), Backpropagation Multi-layer Perceptron Neural Networks (MLPNN) and Adaptive Neuro-Fuzzy Inference System (ANFIS). The performance of all these methodologies were compared and discussed. Finally, validation and verification of the obtained model was conducted using One Step Ahead (OSA) prediction, mean squared error (MSE) and correlation tests. The prediction ability of the model was further observed with unseen data. The results verified that the MLPNN converge to an optimum solution faster and the dynamic model obtained described the flexible plate structure very well. The non-parametric models of the flexible plate structure thus developed and validated will be used as the representation of the transfer function of the system in subsequent investigations for the development of active vibration control strategies for vibration suppression in flexible structures.
format Article
author Mat Darus, Intan Zaurah
Al-Khafaji, Ali A.M.
author_facet Mat Darus, Intan Zaurah
Al-Khafaji, Ali A.M.
author_sort Mat Darus, Intan Zaurah
title Non-parametric modelling of a rectangular flexible plate structure
title_short Non-parametric modelling of a rectangular flexible plate structure
title_full Non-parametric modelling of a rectangular flexible plate structure
title_fullStr Non-parametric modelling of a rectangular flexible plate structure
title_full_unstemmed Non-parametric modelling of a rectangular flexible plate structure
title_sort non-parametric modelling of a rectangular flexible plate structure
publisher Elsevier Limited
publishDate 2012
url http://eprints.utm.my/id/eprint/29502/
http://dx.doi.org/ 10.1016/j.engappai.2011.09.009
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