Dynamic modelling of twin rotor multi system in horizontal motion
This paper investigates the parametric linear approach and utilisation of neural networks (NNs) for modelling of a twin rotor multi system (TRMS) in horizontal motion. Parametric modelling using Auto Regressive Modelling (ARX) model using Recursive Least Squares (RLS) algorithm. On the other hand, n...
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Format: | Article |
Language: | English English |
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Faculty of Mechanical Engineering
2010
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Online Access: | http://eprints.utm.my/36669/1/IntanZaurahMat2010_DynamicModellingofTwinRotorMulti.pdf http://eprints.utm.my/36669/2/201026211.pdf |
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author | Mat Darus, Intan Zaurah Lokaman, Zainul Aman |
author_facet | Mat Darus, Intan Zaurah Lokaman, Zainul Aman |
author_sort | Mat Darus, Intan Zaurah |
collection | ePrints |
description | This paper investigates the parametric linear approach and utilisation of neural networks (NNs) for modelling of a twin rotor multi system (TRMS) in horizontal motion. Parametric modelling using Auto Regressive Modelling (ARX) model using Recursive Least Squares (RLS) algorithm. On the other hand, non-parametric modelling, makes use of Multi Layer Perceptron-Neural Network (MLP-NN) technique. All of these techniques will be used to characterize the behaviour of TRMS. Comparative assessment between these two techniques was conducted and the MLP-NN shows better results compared to RLS for modelling the TRMS. Mean Square Error (MSE), One Step Ahead (OSA) prediction and Correlation Tests were used for verification and validation of both models. Both models are found to be within the 95% confident level. |
first_indexed | 2024-03-05T18:59:36Z |
format | Article |
id | utm.eprints-36669 |
institution | Universiti Teknologi Malaysia - ePrints |
language | English English |
last_indexed | 2024-03-05T18:59:36Z |
publishDate | 2010 |
publisher | Faculty of Mechanical Engineering |
record_format | dspace |
spelling | utm.eprints-366692014-03-12T08:10:15Z http://eprints.utm.my/36669/ Dynamic modelling of twin rotor multi system in horizontal motion Mat Darus, Intan Zaurah Lokaman, Zainul Aman TJ Mechanical engineering and machinery This paper investigates the parametric linear approach and utilisation of neural networks (NNs) for modelling of a twin rotor multi system (TRMS) in horizontal motion. Parametric modelling using Auto Regressive Modelling (ARX) model using Recursive Least Squares (RLS) algorithm. On the other hand, non-parametric modelling, makes use of Multi Layer Perceptron-Neural Network (MLP-NN) technique. All of these techniques will be used to characterize the behaviour of TRMS. Comparative assessment between these two techniques was conducted and the MLP-NN shows better results compared to RLS for modelling the TRMS. Mean Square Error (MSE), One Step Ahead (OSA) prediction and Correlation Tests were used for verification and validation of both models. Both models are found to be within the 95% confident level. Faculty of Mechanical Engineering 2010-12 Article PeerReviewed application/pdf en http://eprints.utm.my/36669/1/IntanZaurahMat2010_DynamicModellingofTwinRotorMulti.pdf text/html en http://eprints.utm.my/36669/2/201026211.pdf Mat Darus, Intan Zaurah and Lokaman, Zainul Aman (2010) Dynamic modelling of twin rotor multi system in horizontal motion. Jurnal Mekanikal (31). pp. 17-29. ISSN 0127-3396 |
spellingShingle | TJ Mechanical engineering and machinery Mat Darus, Intan Zaurah Lokaman, Zainul Aman Dynamic modelling of twin rotor multi system in horizontal motion |
title | Dynamic modelling of twin rotor multi system in horizontal motion
|
title_full | Dynamic modelling of twin rotor multi system in horizontal motion
|
title_fullStr | Dynamic modelling of twin rotor multi system in horizontal motion
|
title_full_unstemmed | Dynamic modelling of twin rotor multi system in horizontal motion
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title_short | Dynamic modelling of twin rotor multi system in horizontal motion
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title_sort | dynamic modelling of twin rotor multi system in horizontal motion |
topic | TJ Mechanical engineering and machinery |
url | http://eprints.utm.my/36669/1/IntanZaurahMat2010_DynamicModellingofTwinRotorMulti.pdf http://eprints.utm.my/36669/2/201026211.pdf |
work_keys_str_mv | AT matdarusintanzaurah dynamicmodellingoftwinrotormultisysteminhorizontalmotion AT lokamanzainulaman dynamicmodellingoftwinrotormultisysteminhorizontalmotion |