Citation

Gao Z, Yan W, Li H. Int. J. Veh. Des. 2016; 70(4): 325-340.

Copyright

(Copyright © 2016, Inderscience Publishers)

DOI

10.1504/IJVD.2016.076737

PMID

unavailable

Abstract

A robust fuzzy headway control algorithm based on the constant time headway (CTH) model for adaptive cruise control (ACC) vehicles is developed. Considering the possible adjustment of the time gap (TG) by a driver after the activation of ACC, inter-vehicle kinematics is established by using a Takagi-Sugeno fuzzy model with the TG as the premise variable. A robust headway controller based on the model is designed by using the Lyapunov function approach. Control input saturation is considered in the design of the controller. Furthermore, the initial conditions of transitional manoeuvres from the velocity control mode to the distance control mode are computed on the basis of inter-vehicle kinematics. The designed algorithm is verified in various operating conditions. Passenger comfort can be improved by the designed algorithm under the precondition of driving safety in the tuning processes of the TG. And the individual preferences of various drivers on ACC are achieved and acceptability is eventually improved.

Language: en