• DocumentCode
    728383
  • Title

    Roll prediction-based optimal control for safe path following

  • Author

    Sanghyun Hong ; Hedrick, J. Karl

  • Author_Institution
    Dept. of Mech. Eng., Univ. of California, Berkeley, Berkeley, CA, USA
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    3261
  • Lastpage
    3266
  • Abstract
    Autonomous vehicles can risk dangerous rollover if they corner without taking roll motion into consideration. This paper proposes a control algorithm to follow a curved road while simultaneously preventing rollover. Model predictive control is applied to minimize roll motion throughout cornering. The prediction of vehicle state is based on a four-wheel nonlinear vehicle model with roll dynamics and a tire brush model. Full braking is utilized as a control actuator to achieve an optimal balance in the trade-off between vehicle speed and roll motion. CarSim simulations show the performance of the proposed control approach and the influence of vehicle parameters on control performance.
  • Keywords
    braking; mobile robots; motion control; optimal control; path planning; predictive control; road vehicles; tyres; vehicle dynamics; CarSim simulation; autonomous vehicle; control actuator; control algorithm; control performance; curved road; four-wheel nonlinear vehicle model; full braking; model predictive control; optimal balance; roll dynamics; roll motion; roll prediction-based optimal control; safe path following; tire brush model; vehicle parameter; vehicle speed; vehicle state; Acceleration; Force; Simulation; Tires; Vehicle dynamics; Vehicles; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7171835
  • Filename
    7171835