• DocumentCode
    183632
  • Title

    Reference control architecture in the presence of measurement noise and actuator dynamics

  • Author

    De La Torre, Gerardo ; Yucelen, Tansel ; Johnson, Eric

  • Author_Institution
    Sch. of Aerosp. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    4961
  • Lastpage
    4966
  • Abstract
    In this paper the command governor-based model reference control architecture is developed and analyzed for uncertain dynamical systems in the presence measurement noise and actuator dynamics. Specifically, the command governor is a dynamical system that adjusts the trajectory of a given command in order to enable an uncertain system to be able to follow an ideal reference system capturing a desired closed-loop dynamical system behavior both in transient-time and steady-state. In this paper, we present modifications to the original command governor approach in order to increase its robustness properties against measurement noise and actuator dynamics. In particular, the modified architecture is shown to retain closed-loop system stability and predictable transient and steady-state performance. Illustrative numerical results are found to verify the theoretical findings.
  • Keywords
    actuators; closed loop systems; measurement errors; model reference adaptive control systems; stability; trajectory control; transient analysis; uncertain systems; actuator dynamics; closed loop dynamical system; closed loop system stability; command governor-based model reference control architecture; predictable transient performance; presence measurement noise; steady-state performance; trajectory adjustment; transient time; uncertain dynamical system; Actuators; Noise; Noise measurement; Stability analysis; Transfer functions; Uncertainty; Vectors; Robust control; Stability of linear systems; Uncertain systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6858669
  • Filename
    6858669