• DocumentCode
    631045
  • Title

    An optimal control for a novel ABS based on vehicle dynamic load transfer effect for reducing stopping distance

  • Author

    Yinai Fan ; Scacchioli, Annalisa

  • Author_Institution
    Dept. of Mech. Eng., New York Univ. Polytech., Brooklyn, NY, USA
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    6727
  • Lastpage
    6733
  • Abstract
    This article presents an analysis of braking stopping distance performances for a vehicle with an Anti-lock Braking System. We propose a novel electronic braking optimal control for passenger cars based on dynamic and transient factors between the tire/wheel and the vehicle. To improve Anti-lock Braking System braking stopping distance performance, in fact, in this study we take advantage of the vehicle dynamic load transfer effect between tire/wheel and vehicle systems [1]. Novelty of this work lies in presenting a global optimal numerical solution of the optimal control problem that minimizes braking stopping distance of the Anti-lock Braking System by applying nonlinear dynamic programming [2] to a fifth order nonlinear vehicle model with dynamic load transfer. Challenges and benefits of the proposed optimal strategy in terms of reduced braking stopping distance are provided through Matlab numerical optimizations and CarSim high-fidelity simulations.
  • Keywords
    automobiles; braking; dynamic programming; nonlinear programming; optimal control; road safety; vehicle dynamics; CarSim high fidelity simulations; Matlab numerical optimizations; antilock braking system; braking stopping distance performance; electronic braking optimal control; global optimal numerical solution; nonlinear dynamic programming; nonlinear vehicle model; passenger cars; transient factors; vehicle dynamic load transfer effect; vehicle systems; vehicle tire; vehicle wheel; Friction; Load modeling; Mathematical model; Tires; Vehicle dynamics; Vehicles; 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.2013.6580896
  • Filename
    6580896