• DocumentCode
    3425272
  • Title

    An adaptive energy-efficient control allocation on planar motion control of electric ground vehicles

  • Author

    Chen, Yan ; Wang, Junmin

  • Author_Institution
    Dept. of Mech. & Aerosp. Eng., Ohio State Univ., Columbus, OH, USA
  • fYear
    2011
  • fDate
    12-15 Dec. 2011
  • Firstpage
    8062
  • Lastpage
    8067
  • Abstract
    An adaptive energy-efficient control allocation (A-EECA) is developed for planar motion control of electric ground vehicles (EGVs) with four in-wheel motors. Different from distribution processes in previous EECA designs [19][28], which needed to instantaneously solve nonlinear (even non-convex) optimization problems at each sampling time, this adaptive EECA approach can make distributed control actuation gradually converge to energy-optimal operating points. The consequent advantages are reflected in both low computational cost and free selections of initial conditions. Based on experimental data and some reasonable assumptions on the efficiencies of in-wheel motors, the adaptive EECA dictates different torque distributions to all the EGV wheels based on their different efficiencies. Simulation results of different maneuvers indicate that much less energy and computational cost are consumed when the adaptive EECA scheme is applied for controlling the planar motion of an EGV.
  • Keywords
    adaptive control; concave programming; distributed control; electric vehicles; energy conservation; motion control; A-EECA; EGV; adaptive energy-efficient control allocation; distributed control actuation; electric ground vehicles; four in-wheel motors; nonlinear optimization problems; planar motion control; Actuators; Computational efficiency; Mathematical model; Power demand; Torque; Tracking; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-61284-800-6
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2011.6160407
  • Filename
    6160407