• DocumentCode
    2585865
  • Title

    Minimum-energy trajectory planning and control on a straight line with rotation for three-wheeled omni-directional mobile robots

  • Author

    Kim, Hongjun ; Kim, Byung Kook

  • Author_Institution
    Electr. Eng. Dept., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • fYear
    2012
  • fDate
    7-12 Oct. 2012
  • Firstpage
    3119
  • Lastpage
    3124
  • Abstract
    The minimum-energy trajectory planning and control algorithm on a straight line with rotation is proposed for battery-powered three-wheeled omni-directional mobile robots (TOMRs). In order to lengthen the operation time of a mobile robot with carried batteries, we have chosen a practical cost function as the energy from the batteries to actuation motors. The optimal control theory using a Hamiltonian function is used to solve the minimum-energy trajectory, which gives the rotational velocity profile in analytic form and the translational velocity profile by numerical method. We also establish search algorithm to find the minimum-energy trajectory. These minimum-energy velocity trajectories are compared to the conventional trapezoidal velocity profiles via simulation to analyze actuation energy consumption, which reveal energy savings up to 4.76 %. Also a trajectory following control system is implemented to validate the actual performance.
  • Keywords
    energy consumption; mobile robots; optimal control; trajectory control; velocity control; Hamiltonian function; TOMR; actuation energy consumption; battery-powered three-wheeled omnidirectional mobile robots; minimum-energy trajectory control algorithm; minimum-energy trajectory planning; minimum-energy velocity trajectories; numerical method; optimal control theory; rotational velocity profile; straight line; translational velocity profile; trapezoidal velocity profiles; Energy consumption; Mobile robots; Planning; Robot kinematics; Trajectory; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on
  • Conference_Location
    Vilamoura
  • ISSN
    2153-0858
  • Print_ISBN
    978-1-4673-1737-5
  • Type

    conf

  • DOI
    10.1109/IROS.2012.6385568
  • Filename
    6385568