• DocumentCode
    234250
  • Title

    An analytical trajectory planning method for underactuated overhead cranes with constraints

  • Author

    Wu Xianqing ; He Xiongxiong ; Sun Ning

  • Author_Institution
    Coll. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    1966
  • Lastpage
    1971
  • Abstract
    In this paper, an analytical acceleration trajectory planning approach with constraints is proposed for underactuated overhead cranes. The allowable maximum velocity and acceleration of the physical system are taken into account, the payload swing is guaranteed to be under the preset amplitude during movement, and the transportation time can be estimated in advance. Specifically, by solving the inhomogeneous differential equation of the kinematic model, we analyze the coupling behavior of the cart motion and the payload swing, and provide the analytical expression between the payload swing and the cart acceleration. Subsequently, an analytical acceleration trajectory is proposed by introducing some smooth functions into the existing three-segment acceleration trajectory. The performance of the proposed trajectory is proven by rigorous mathematical analysis. Numerical simulation results are included to demonstrate the effectiveness of the proposed motion planning method.
  • Keywords
    cranes; differential equations; path planning; trajectory control; analytical acceleration trajectory planning approach; cart acceleration; cart motion; coupling behavior analysis; inhomogeneous differential equation; kinematic model; mathematical analysis; maximum velocity; numerical simulation; payload swing; smooth functions; three-segment acceleration trajectory; transportation time; underactuated overhead cranes; Acceleration; Cranes; Equations; Mathematical model; Payloads; Planning; Trajectory; Overhead Crane; Trajectory Planning; Underactuated System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2014 33rd Chinese
  • Conference_Location
    Nanjing
  • Type

    conf

  • DOI
    10.1109/ChiCC.2014.6896931
  • Filename
    6896931