• DocumentCode
    2045387
  • Title

    Development and evaluation of Cooperative Adaptive Cruise Controllers

  • Author

    Peidong Wang ; Zhenping Sun ; Jun Tan ; Zhenhua Huang ; Qi Zhu ; Wei Zhao

  • Author_Institution
    Coll. of Mechatron. & Autom., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2015
  • fDate
    2-5 Aug. 2015
  • Firstpage
    1607
  • Lastpage
    1612
  • Abstract
    In this paper, we present a Cooperative Adaptive Cruise Control (CACC) system consists of several autonomous ground vehicles (AGVs). Using vehicle to vehicle communication, the designed cooperative controller could minimize inter vehicle spacing, meanwhile, guarantee the platoon´s stability. We use mainly two algorithms to design our longitudinal controllers to the problem, a frequency domain approach and controller based on model predictive control. In order to validate the effectiveness of the proposed method, we conduct simulations on a simulated environment by coupling Matlab with Carsim. Simulation results show capabilities of all the designed controllers could make the vehicle follow a vehicle ahead of it at a desired safety distance.
  • Keywords
    adaptive control; automobiles; control system synthesis; frequency-domain analysis; mobile robots; motion control; predictive control; road safety; stability; AGV; CACC system; Carsim; Matlab; autonomous ground vehicles; cooperative adaptive cruise controllers; cooperative controller design; frequency domain approach; intervehicle spacing; longitudinal controllers; model predictive control; platoon stability; safety distance; vehicle to vehicle communication; Acceleration; Control systems; Safety; Stability criteria; Vehicles; Cooperative Adaptive Cruise Control (CACC); Model Predictive Control (MPC); String Stability; Vehicle-to-Vehicle (V2V); longitudinal vehicle control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-7097-1
  • Type

    conf

  • DOI
    10.1109/ICMA.2015.7237725
  • Filename
    7237725