• DocumentCode
    2466211
  • Title

    Servo-hydraulic actuator control for real-time hybrid simulation

  • Author

    Chen, Cheng ; Ricles, James M.

  • Author_Institution
    ATLSS Eng. Res. Center, Lehigh Univ., Bethlehem, PA, USA
  • fYear
    2009
  • fDate
    10-12 June 2009
  • Firstpage
    5222
  • Lastpage
    5227
  • Abstract
    Real-time hybrid simulation combines experimental testing with numerical simulation, enabling the complete structural system to be considered in an experiment. The method presents an economical and effective technique to physically evaluate the behavior of rate-dependent seismic devices and to validate performance-based design procedures. Accurate servo-hydraulic actuator control is necessary for a successful real-time hybrid simulation. Inherent servo-hydraulic actuator dynamics can lead to actuator delay that results in a desynchronization between the measured restoring force(s) and the integration algorithm, leading to inaccurate results and possible instability in the simulation. This paper presents an adaptive compensation scheme to achieve accurate actuator control in real-time hybrid simulation. Experimental evaluation of the proposed adaptive scheme is conducted for a single-degree-of-freedom moment resisting frame with an elastomeric damper. The performance of the adaptive compensation scheme is compared with other compensation methods. It is shown that the adaptive compensation scheme is able to achieve accurate actuator control in real-time hybrid simulation.
  • Keywords
    adaptive control; compensation; hydraulic actuators; servomechanisms; adaptive compensation scheme; rate-dependent seismic device; real-time hybrid simulation; servo-hydraulic actuator control; servo-hydraulic actuator dynamics; Actuators; Adaptive control; Delay; Force measurement; Numerical simulation; Performance evaluation; Programmable control; Real time systems; Seismic measurements; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2009. ACC '09.
  • Conference_Location
    St. Louis, MO
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-4523-3
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2009.5160186
  • Filename
    5160186