• DocumentCode
    630540
  • Title

    Experimental evaluation of optimal Vehicle Dynamic Control based on the State Dependent Riccati Equation technique

  • Author

    Alirezaei, Mohsen ; Kanarachos, S. ; Scheepers, B. ; Maurice, J.P.

  • Author_Institution
    Integrated Vehicle Safety Dept., TNO, Helmond, Netherlands
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    408
  • Lastpage
    412
  • Abstract
    Development and experimentally evaluation of an optimal Vehicle Dynamic Control (VDC) strategy based on the State Dependent Riccati Equation (SDRE) control technique is presented. The proposed nonlinear controller is based on a nonlinear vehicle model with nonlinear tire characteristics. A novel extended linearization scheme of the system´s state space equations on the basis of the combined slip Pacejka tire model is developed. On-line control regulation in terms of optimal braking torque allocation is computed at each time increment by solving efficiently an Algebraic Riccati Equation. The proposed method is implemented and tested on a Jaguar XF test vehicle. The results show the effectiveness of the proposed controller in stabilizing the vehicle with less effect on the vehicle longitudinal motion.
  • Keywords
    Riccati equations; automobiles; braking; linearisation techniques; mechanical stability; nonlinear control systems; optimal control; slip; state-space methods; torque; tyres; vehicle dynamics; Jaguar XF test vehicle; algebraic Riccati equation; combined slip Pacejka tire model; extended linearization scheme; nonlinear controller; nonlinear tire characteristics; nonlinear vehicle model; online control regulation; optimal braking torque allocation; optimal vehicle dynamic control strategy; state dependent Riccati equation control technique; system state space equations; vehicle longitudinal motion; vehicle stabilization; Computational modeling; Mathematical model; Riccati equations; 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.2013.6579871
  • Filename
    6579871