• DocumentCode
    184006
  • Title

    Control effort reduction analysis of Zero-Vibration model reference control for controlling a time-varying plant

  • Author

    Fujioka, Daichi ; Singhose, William

  • Author_Institution
    Dept. of Mech. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    3110
  • Lastpage
    3115
  • Abstract
    This paper investigates the combination of input shaping and model reference control. The benefits of the proposed controller design include robustness against plant uncertainties and parameter estimation errors, while achieving good vibration suppression. The controller design is applied to a pendulum payload plant with time-varying parameters. The state space representation of the reference model and the time-varying plant are derived. The Lyapunov control law and Zero-Vibration input shaper utilized to formulate the control signal are presented. Simulations reveal that input shaping, when implemented with the model reference control, can perform effectively in both vibration suppression and state tracking, even in the presence of the variable parameters. Input shaping also contributes to reducing the control effort magnitude for large ranges of system parameter values and the parameter variances.
  • Keywords
    Lyapunov methods; control system synthesis; cranes; robust control; time-varying systems; vibration control; Lyapunov control law; control effort reduction analysis; controller design; parameter estimation errors; pendulum payload plant; planar crane; plant uncertainty robustness; state space representation; state tracking; time-varying parameters; time-varying plant control; vibration suppression; zero-vibration input shaper; zero-vibration model reference control; Analytical models; Cranes; Damping; Mathematical model; Payloads; Robustness; Vibrations; Modeling and simulation; Robust control; Time-varying 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.2014.6858889
  • Filename
    6858889