• DocumentCode
    3178003
  • Title

    A trajectory tracking control scheme design for nonholonomic wheeled mobile robots with low-level control systems

  • Author

    Chang Boon Low

  • Author_Institution
    DSO Nat. Labs., Singapore, Singapore
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    536
  • Lastpage
    543
  • Abstract
    Motivated by formation control of multiple non-holonomic mobile robots, this paper presents a trajectory tracking control scheme design for nonholonomic mobile robots that are equipped with low-level linear and angular velocities control systems. The design includes a nonlinear kinematic trajectory tracking control law and a tracking control gains selection method that provide a means to implement the nonlinear tracking control law systematically based on the dynamic control performance of the robot´s low-level control systems. In addition, the proposed scheme, by design, enables the mobile robot to execute reference trajectories that are represented by time-parameterized waypoints. This feature provides the scheme a generic interface with higher-level trajectory planners. The trajectory tracking control scheme is validated using an iRobot Packbot´s parameteric model estimated from experimental data.
  • Keywords
    angular velocity control; mobile robots; nonlinear control systems; robot dynamics; robot kinematics; trajectory control; wheels; angular velocity control system; dynamic control performance; formation control; generic interface; iRobot Packbot; linear velocity control system; low-level control system; nonholonomic mobile robot; nonholonomic wheeled mobile robot; nonlinear kinematic trajectory tracking control law; nonlinear tracking control law; parameteric model estimation; time-parameterized waypoint; tracking control gains selection method; trajectory planner; trajectory tracking control scheme design; Kinematics; Mobile robots; Robot kinematics; Tracking loops; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6426748
  • Filename
    6426748