• DocumentCode
    3352778
  • Title

    Robustness analysis of input-shaped model reference control on a double-pendulum crane

  • Author

    Fujioka, Daichi ; Shah, Manan ; Singhose, William

  • Author_Institution
    Sch. of Mech. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    2561
  • Lastpage
    2566
  • Abstract
    This paper analyzes the robustness of input-shaped model reference control when applied to a double-pendulum crane using a linear single-pendulum crane as the reference model. The single- and double-pendulum crane dynamics are derived and then used to develop the input-shaped model reference control scheme. The robustness of the controller is enhanced to handle both parameter variations and the system order difference between the reference model and the plant. The natural frequencies of the cranes are calculated and utilized to design a three-mode zero-vibration input shaper. A Lyapunov control law using only the states associated with the first mode is derived. The robustness of the proposed controller in state tracking and oscillation suppression performances are analyzed and verified via numerical simulations and experiments. The controller has good robustness to the parameter estimation errors and the fundamental system order difference between the reference model and the plant.
  • Keywords
    Lyapunov methods; control system synthesis; cranes; model reference adaptive control systems; robust control; vehicle dynamics; Lyapunov control law; controller robustness; crane dynamics; double-pendulum crane; input-shaped model reference control; linear single-pendulum crane; natural frequencies; oscillation suppression; parameter estimation errors; parameter variations; robustness analysis; state tracking; system order difference; three-mode zero-vibration input shaper design; Cranes; Indexes; Mathematical model; Oscillators; Payloads; Robustness; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7171120
  • Filename
    7171120