Universiti Teknologi Malaysia Institutional Repository

Neuro modelling of flexible plate structure rig for development of active vibration control algorithm

Mat Darus, Intan Zaurah and Al-Khafaji, A. A. M. and Jamid, M. F. (2010) Neuro modelling of flexible plate structure rig for development of active vibration control algorithm. In: Asia Modeling Symposium 2010 : 4th Asia International Conferende on Mathematical Modelling & Computer Simulation, 26-28 May 2010, Borneo Island, Kota Kinabalu, Sabah.

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Official URL: http://dx.doi.org/10.1109/AMS.2010.85

Abstract

This paper presents an investigation into the performance of system identification using Backpropagation Multi-layer Perceptron Neural Networks algorithm for identification of a flexible plate system. Details of the implementation and the experimental studies are given and analyzed in the paper. The input-output data of the system were first acquired through the experimental studies using National Instrumentation (NI) data acquisition system. A sinusoidal force was then applied to excite the flexible plate and the dynamic response of the system was investigated. A linear parametric model of the system is developed using Recursive Least Square (RLS). Furthermore, a non-parametric model of the system is developed using Multi-layer Perceptron Neural Networks (MLP-NN). Later a comparative performance of the approaches used is presented and discussed. Finally, the validity of the obtained model was investigated using correlation tests.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:active vibration control, flexible plate, neural network, system identification
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Mechanical Engineering
ID Code:24121
Deposited By: Liza Porijo
Deposited On:22 Jun 2012 08:31
Last Modified:25 Sep 2012 02:13

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