• DocumentCode
    2853101
  • Title

    Energy-efficient control allocation with applications on planar motion control of electric ground vehicles

  • Author

    Yan Chen ; Junmin Wang

  • Author_Institution
    Dept. of Mech. & Aerosp. Eng., Ohio State Univ., Columbus, OH, USA
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    2719
  • Lastpage
    2724
  • Abstract
    This paper presents a control method for tracking electric ground vehicle planar motions while achieving the optimal energy consumption. Sliding mode control and an energy-efficient control allocation (CA) scheme are synthesized to track the desired vehicle longitudinal, lateral, and yaw motions. By explicitly incorporating actuator efficiencies and actuator operating modes into the coordination of redundant in-wheel motors equipped on electric ground vehicles, vehicle planar motion control and operating energy optimization are achieved simultaneously. Different maneuvers are tested for comparisons between the standard and the energy-efficient CA schemes. Based on experimental data and some reasonable assumptions on the efficiencies of in-wheel motors, the energy-efficient CA dictates different torque distributions on all the wheels under consideration of different efficiencies. Simulation results indicate that, in comparison to the results by the standard CA scheme, less energy is consumed when the energy-efficient CA scheme is applied for controlling the electric ground vehicle planar motions.
  • Keywords
    energy conservation; energy consumption; motion control; optimisation; road vehicles; tracking; variable structure systems; actuator operating modes; electric ground vehicles; energy-efficient control allocation; operating energy optimization; optimal energy consumption; planar motion control; redundant in-wheel motors; sliding mode control; tracking; Energy efficiency; Land vehicles; Mathematical model; Power demand; Torque; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5991160
  • Filename
    5991160