• DocumentCode
    2331856
  • Title

    Artificial immune network model based controller for vibration suppression of flexible structures

  • Author

    Salleh, Salihatun Md ; Tokhi, M. Osman ; Toha, Siti Fauziah

  • Author_Institution
    Dept. of Autom. Control & Syst. Eng., Univ. of Sheffield, Sheffield, UK
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper presents a model based controller with immune inspired algorithm to suppress flexible plate vibration. Artificial immune network (AiNet) algorithm with real-valued random initialisation of antibodies is considered to optimise the system model for use in active vibration controller development in a single-input and multi-output (SIMO) configuration. The AiNet model based controller thus developed shows the capability of the approach with relatively better accuracy in comparison to using real-coded genetic algorithm. The simulation results also reveal improvement in vibration reduction and less computational time.
  • Keywords
    artificial immune systems; flexible structures; genetic algorithms; plates (structures); vibration control; AiNet algorithm; SIMO configuration; active vibration controller; antibody; artificial immune network model based controller; flexible plate vibration; flexible structure; immune inspired algorithm; real-coded genetic algorithm; real-valued random initialisation; single-input and multi-output configuration; vibration reduction; vibration suppression; Automatic voltage control; Computational modeling; Detectors; Immune system; Mathematical model; Transfer functions; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2010 IEEE Congress on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-6909-3
  • Type

    conf

  • DOI
    10.1109/CEC.2010.5586371
  • Filename
    5586371