• DocumentCode
    2224080
  • Title

    Model based wheel slip control via constrained optimal algorithm

  • Author

    Yoo, Dae Keun ; Wang, Liuping

  • Author_Institution
    RMIT Univ., Melbourne
  • fYear
    2007
  • fDate
    1-3 Oct. 2007
  • Firstpage
    1239
  • Lastpage
    1246
  • Abstract
    The main focus of this paper is on the design and implementation of an antilock brake control system (ABS) for brake-by-wire (BBW) system using a generic model predictive control (MPC) scheme. The advent of BBW system offers a more accurate and continuous braking control, hence poses the possibility of introducing an advanced control algorithm for ABS system. The proposed algorithm aims to utilize this technology and the behavior of the model to optimize the wheel slip dynamics subject to system constraints. The final implementation of the controller embraces the decentralized control architecture of BBW system to independently control the brake torque at each four wheels. The performance of a wheel slip controller is validated through hardware-in-the-loop simulation (HiL), which consists of physical BBW brake calipers and the real-time nonlinear vehicle dynamic simulation model to accommodate the realistic brake-by-wire system.
  • Keywords
    brakes; decentralised control; nonlinear control systems; predictive control; road vehicles; vehicle dynamics; wheels; advanced control algorithm; antilock brake control system; brake-by-wire system; constrained optimal algorithm; continuous braking control; decentralized control architecture; generic model predictive control scheme; hardware-in-the-loop simulation; model based wheel slip control; real-time nonlinear vehicle dynamic simulation model; wheel slip dynamics; Constraint optimization; Control system synthesis; Control systems; Distributed control; Optimal control; Predictive control; Predictive models; Torque control; Vehicle dynamics; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 2007. CCA 2007. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-0442-1
  • Electronic_ISBN
    978-1-4244-0443-8
  • Type

    conf

  • DOI
    10.1109/CCA.2007.4389405
  • Filename
    4389405