• DocumentCode
    3362777
  • Title

    The seismic response reduction by using model reference adaptive control algorithm

  • Author

    Tu, J.W. ; Jiang, S.J. ; Stoten, D.P.

  • Author_Institution
    Hubei Key Lab. of Roadway Bridge & Struct. Eng., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2010
  • fDate
    26-28 June 2010
  • Firstpage
    1215
  • Lastpage
    1218
  • Abstract
    The model reference adaptive control method is introduced into the field of structural control. The fundamental equation about adaptive control over the seismic response of the structure is derived from the adaptive control theory - the minimum control synthesis (MCS). On the basis of designing two reference models - the seismic energy reducing model and the linear quadratic regular (LQR) model, two types of adaptive controllers are devised for each model. With this method, the simulation results about the seismic reaction of a three DOF (degree of freedom) structure indicate: with the model reference adaptive control method, the seismic response of the structure can track the reference model very well; the MCS apaptive control algorism can reduce the structural seismic response evidently; and this method can be applied into structural vibration control.
  • Keywords
    control system synthesis; linear quadratic control; model reference adaptive control systems; seismology; structural engineering; vibration control; DOF structure; LQR; MCS; degree of freedom; linear quadratic regular model; minimum control synthesis; model reference adaptive control algorithm; seismic energy reducing model; seismic response reduction; structural vibration control; Adaptive control; Aerodynamics; Bridges; Earthquakes; Equations; Frequency; Interference; Laboratories; Resists; Vibration control; MCS; model reference adaptive control; seismic response; structural control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7737-1
  • Type

    conf

  • DOI
    10.1109/MACE.2010.5536420
  • Filename
    5536420