• 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