• DocumentCode
    2577564
  • Title

    Time-optimal dynamic path inversion for an automatic guided vehicle

  • Author

    Lini, Gabriele ; Piazzi, Aurelio

  • Author_Institution
    Dipt. di Ing. dell´´Inf., Univ. di Parma, Parma, Italy
  • fYear
    2010
  • fDate
    15-17 Dec. 2010
  • Firstpage
    5264
  • Lastpage
    5269
  • Abstract
    The article presents the time-optimal trajectory planning of an automatic guided vehicle (AGV) on a given feasible path while respecting velocity, acceleration and jerk constraints. A theoretical result shows the connection for the AGV between the geometric continuity of its paths and the smoothness of its control inputs (linear velocity and steering angle of the AGV motor wheel). The solution hence proposed for the optimal planning is based on a dynamic path inversion algorithm for which first the optimal velocity profile is determined and then the optimal steering signal is derived from a geometrical construction. A set of sufficient conditions for the feasibility of the velocity planning is devised and the practical computation of the optimal velocity profile uses time-discretization and linear programming. A worked example using η3-splines illustrates the method.
  • Keywords
    automatic guided vehicles; linear programming; mobile robots; motion control; path planning; splines (mathematics); telerobotics; η3-splines; AGV; automatic guided vehicle; linear programming; linear velocity; motion control; optimal velocity profile; path geometric continuity; steering angle; time-discretization; time-optimal dynamic path inversion; time-optimal trajectory planning; velocity planning; Acceleration; Heuristic algorithms; Interpolation; Linear programming; Planning; Vehicle dynamics; Wheels; Automatic guided vehicles; constrained velocity planning; dynamic path inversion; feedforward control; minimum-time control; time-optimal trajectory planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2010 49th IEEE Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4244-7745-6
  • Type

    conf

  • DOI
    10.1109/CDC.2010.5717757
  • Filename
    5717757