DocumentCode
599272
Title
Neuro-fuzzy Identification of Flexible Beam Structure
Author
Jalil, Nurhanafifi Abd ; Darus, I.Z.M. ; Mohamad, Md
Author_Institution
Dept. of Syst., Dynamics & Control, Univ. Teknol. Malaysia, Skudai, Malaysia
fYear
2012
fDate
23-26 Sept. 2012
Firstpage
185
Lastpage
190
Abstract
The dynamics characterisation and modelling of a flexible cantilever (fixed-free) beam in transverse motion is presented in this paper. Finite Difference (FD) numerical analysis method is used to simulate the vibration of flexible cantilever beam system. The FD algorithm developed is validated through comparison of its natural frequencies of vibration with the theoretical values. Using input-output data obtained via FD simulation, nonparametric system identification of the flexible beam using intelligent Neural Network (NN) and Adaptive Neuro Fuzzy Inference System (ANFIS) are developed. Results indicated a comparable performance of both intelligent algorithms in modelling the flexible beam. The simulation environments produced in this research can later be utilised as a platform for development and verification of an active vibration control of the flexible cantilever beam.
Keywords
adaptive systems; beams (structures); cantilevers; finite difference methods; flexible structures; fuzzy neural nets; mechanical engineering computing; vibration control; ANFIS; active vibration control; adaptive neuro fuzzy inference system; dynamics characterisation; finite difference numerical analysis method; flexible beam structure; flexible cantilever beam system; intelligent algorithm; intelligent neural network; neurofuzzy identification; nonparametric system identification; transverse motion; Artificial intelligence; Artificial neural networks; Computational modeling; Convergence; Delay; ANFIS; artificial neural network; finite difference; flexible cantilever beam;
fLanguage
English
Publisher
ieee
Conference_Titel
Control, Systems & Industrial Informatics (ICCSII), 2012 IEEE Conference on
Conference_Location
Bandung
Print_ISBN
978-1-4673-1022-2
Type
conf
DOI
10.1109/CCSII.2012.6470498
Filename
6470498
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