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Dynamic modelling of twin rotor multi system in horizontal motion

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

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Abstract

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.

Item Type:Article
Uncontrolled Keywords:multi layer perceptron-neural networks, system identification, twin rotor multi system
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Mechanical Engineering
ID Code:36669
Deposited By:INVALID USER
Deposited On:09 Mar 2014 16:55
Last Modified:12 Mar 2014 16:10

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