Non-parametric neuro-model of a flexible beam structure

Author

Jalil, Nurhanafifi Abd ; Mat Darus, Intan Z.

Author_Institution

Dept. of Appl. Mech., Univ. Teknol. Malaysia, Skudai, Malaysia

fYear

2013

fDate

7-9 April 2013

Firstpage

45

Lastpage

50

Abstract

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.

Keywords

PI control; beams (structures); cantilevers; finite difference methods; flexible structures; multilayer perceptrons; structural engineering computing; vibration control; ELMAN networks; MLP; PI control; finite difference method; fixed-free beams; flexible beam structures; flexible cantilever beams; multilayer perceptron; nonparametric neural network methods; nonparametric neuromodel; reliability; transverse motion; vibration controller; Artificial neural networks; Delays; Gain; Neurons; Structural beams; Time-domain analysis; Vibrations; artificial neural network; finite difference; flexible cantilever beam;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers & Informatics (ISCI), 2013 IEEE Symposium on

Conference_Location

Langkawi

Print_ISBN

978-1-4799-0209-5

Type

conf

DOI

10.1109/ISCI.2013.6612373

Filename

6612373