• DocumentCode
    2849509
  • Title

    Structural Vibration Intelligent Control Based on Magnetorheological Damper

  • Author

    Liu, Jianjun ; Xia, Kaiquan ; Zhu, Caixia

  • Author_Institution
    Div. of Eng. Mech., China Electr. Power Res. Inst., Beijing, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Structural intelligent control system (SICS) is the advanced field of seismic engineering discipline. Due to the inherent nonlinear nature and uncertainty of the semi-active control system based on magnetorheological (MR) fluid damper, an improved back-propagation (BP) algorithm is proposed, which divides the actual structure model into a mechanism model part and a timevarying error model part. By means of off-line training and on-line modifying, the intelligent control system based on the improved BP algorithm are acquired. It can be used to predict the damping force of MR damper and eliminate the influence of time delay. Theoretical analysis and numerical simulations show that the intelligent control system can efficiently reduce the structure responses induced by earthquake, has good performance in adaptively tracking target and displays resistance to disturbances.
  • Keywords
    backpropagation; earthquake engineering; intelligent control; magnetorheology; shock absorbers; structural engineering; vibration control; MR damper; back-propagation algorithm; earthquake; magnetorheological damper; magnetorheological fluid damper; off-line training; online modifying; seismic engineering discipline; semi-active control system; structural intelligent control system; structural vibration intelligent control; structure responses; target tracking target; time delay; timevarying error model; Control system synthesis; Damping; Delay effects; Error correction; Intelligent control; Nonlinear control systems; Shock absorbers; Silicon carbide; Uncertainty; Vibration control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5365292
  • Filename
    5365292