• DocumentCode
    696301
  • Title

    IMC-based control system on a MR damper

  • Author

    de J Lozoya-Santos, Jorge ; Morales-Menendez, Ruben ; Ramirez-Mendoza, Ricardo A.

  • Author_Institution
    Inst. Tecnol. de Monterrey, Monterrey, Mexico
  • fYear
    2009
  • fDate
    23-26 Aug. 2009
  • Firstpage
    3311
  • Lastpage
    3316
  • Abstract
    A control system of a Magneto-Rheological (MR) damper force based on the Internal Model Control (IMC) strategy is proposed. Dynamic models of the MR damper were built exploiting Artificial Neural Networks (ANN). The control system was implemented with a controller based on an inverse ANN model of the MR damper and a forward model as internal nominal model. The feasibility of the control system was compared versus a direct-inverse control scheme. Simulated results demonstrated a practical and feasible solution.
  • Keywords
    neurocontrollers; shock absorbers; vibration control; IMC-based control system; MR damper; artificial neural networks; direct inverse control scheme; internal model control; inverse ANN model; magnetorheological damper force; Artificial neural networks; Control systems; Current; Damping; Force; Roads; Shock absorbers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2009 European
  • Conference_Location
    Budapest
  • Print_ISBN
    978-3-9524173-9-3
  • Type

    conf

  • Filename
    7074916
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=696301