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
Link To Document :
بازگشت