Citation

Flores C, Muñoz J, Monje CA, Milanés V, Lu XY. J. Advanc. Res. 2020; 25: 181-189.

Copyright

(Copyright © 2020, Cairo University, Publisher Elsevier Publishing)

DOI

10.1016/j.jare.2020.05.013

PMID

32922985 PMCID

Abstract

This work deals with the control design and development of an automated car-following strategy that further increases robustness to vehicle dynamics uncertainties. The control algorithm is applied on a hierarchical architecture where high and low level control layers are designed for gap-control and desired acceleration tracking, respectively. A fractional-order controller is proposed due to its flexible frequency shape, fulfilling more demanding design requirements. The iso-damping loop property is sought, which yields a desired closed-loop stability that results invariant despite changes on the controlled plant gain. In addition, the graphical nature of the proposed design approach demonstrates its portability and applicability to any type of vehicle dynamics without complex reconfiguration. The algorithm benefits are validated in frequency and time domains, as well as through experiments on a real vehicle platform performing adaptive cruise control.

Language: en

Keywords

Intelligent transportation systems; Adaptive cruise control; Fractional-order control; Iso-damping stability