• DocumentCode
    1833657
  • Title

    Adaptive trajectory tracking control for a four-rope crane

  • Author

    Biao Lu ; Yongchun Fang ; Ning Sun

  • Author_Institution
    Inst. of Robot. & Autom. Inf. Syst., Nankai Univ., Tianjin, China
  • fYear
    2015
  • fDate
    7-11 July 2015
  • Firstpage
    488
  • Lastpage
    493
  • Abstract
    In practice, overhead cranes often suffer from uncertain system parameters such as the payload mass and friction-related coefficients. These uncertainties may seriously degrade the performance of corresponding controllers. Multi-rope cranes may encounter such problem as well. To solve this problem, we develop an adaptive trajectory tracking controller for a four-rope crane in this paper. The proposed method can achieve fast trolley positioning and rapid payload swing elimination even in the presence of uncertain system parameters. The performance of the closed-loop system is theoretically ensured by Lyapunov techniques and Barbalat´s lemmas. Furthermore, simulation results are subsequently provided to demonstrate the feasibility and efficiency of the designed controller.
  • Keywords
    Lyapunov methods; adaptive control; control system synthesis; cranes; friction; trajectory control; trolleys; uncertain systems; Barbalat´s lemmas; Lyapunov techniques; adaptive trajectory tracking control; closed-loop system; fast trolley positioning; four-rope crane; friction-related coefficients; overhead cranes; payload mass; rapid payload swing elimination; uncertain system parameters; Cranes; Mechatronics; Payloads; Simulation; Stability analysis; Trajectory; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Intelligent Mechatronics (AIM), 2015 IEEE International Conference on
  • Conference_Location
    Busan
  • Type

    conf

  • DOI
    10.1109/AIM.2015.7222581
  • Filename
    7222581