• DocumentCode
    181821
  • Title

    Extended Cooperative Adaptive Cruise Control

  • Author

    Montanaro, Umberto ; Tufo, Manuela ; Fiengo, Giovanni ; di Bernardo, Mario ; Salvi, Alessandro ; Santini, Stefania

  • Author_Institution
    Media Motive s.r.l., Naples, Italy
  • fYear
    2014
  • fDate
    8-11 June 2014
  • Firstpage
    605
  • Lastpage
    610
  • Abstract
    In this paper the Cooperative Adaptive Cruise Control strategy for vehicles platooning is extended to the case when each vehicle can communicate with a subset of vehicles in the fleet. The control objective is to guarantee that the fleet moves forward with a given spacing policy at the leader velocity. To this aim each vehicle decides its control action using information from all neighboring vehicles through wireless communication. In so doing, a network of dynamical systems is formed, and it is shown that achieving platooning is equivalent to find a control algorithm so that the resulting network is asymptotically stable. A network protocol able to deal with heterogeneous time-varying communication delays is then proposed to solve the problem. A consistent proof of stability of the closed-loop system is provided and numerical results confirm the effectiveness of the approach and its robustness with respect to variations of the leader velocity, as well as to generic topologies of the underlying network emerging from the communication features.
  • Keywords
    adaptive control; asymptotic stability; closed loop systems; delays; intelligent transportation systems; motion control; position control; protocols; road vehicles; telecommunication network topology; time-varying systems; vehicular ad hoc networks; asymptotically stable; closed-loop system; communication features; control algorithm; control objective; dynamical system network; extended cooperative adaptive cruise control; fleet forward movement; heterogeneous time-varying communication delays; leader velocity; neighboring vehicle information; network protocol; network topology; robustness; spacing policy; stability proof; vehicle communication; vehicle control action decision; vehicle fleet; vehicle platooning; wireless communication; Asymptotic stability; Closed loop systems; Delays; Robustness; Vehicle dynamics; Vehicles; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium Proceedings, 2014 IEEE
  • Conference_Location
    Dearborn, MI
  • Type

    conf

  • DOI
    10.1109/IVS.2014.6856530
  • Filename
    6856530