• DocumentCode
    2911083
  • Title

    Supervisory traction control for a slipping UGV

  • Author

    Broderick, John A. ; Tilbury, Dawn M. ; Atkins, Ella M.

  • Author_Institution
    Electr. Eng.: Syst. Dept., Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    4350
  • Lastpage
    4355
  • Abstract
    Unmanned Ground Vehicles (UGVs) face many mobility challenges as they operate in unstructured environments. In addition to insurmountable obstacles, UGVs can lose traction and slip, reducing maneuverability and potentially causing collisions with obstacles. This paper develops a dynamic model of a differentially-driven ground robot with lateral and longitudinal slip, using a ground friction model from the literature. A novel switching control system, with velocity input commands, is also presented. The controller switches from PID control to a trajectory planning mode when the robot begins to slip or when the normal command would exceed the ground friction forces. The trajectory is planned and executed based on commanded velocities. Stability and robustness of the trajectory planning controller are discussed. This control law is compared in simulation to a PID controller, using the UGV model, on different surfaces. The traction controller drives the UGV closer to the desired path derived from the reference trajectories.
  • Keywords
    collision avoidance; friction; mechanical variables control; mobile robots; remotely operated vehicles; robot dynamics; three-term control; traction; velocity control; PID control; differentially-driven ground robot; ground friction model; lateral slip; longitudinal slip; proportional-integral-derivative control; robot dynamic model; slipping UGV; supervisory traction control; switching control system; trajectory planning control; velocity input command; Friction; Mobile robots; Planning; Switches; Trajectory; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6580509
  • Filename
    6580509