SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Li SE, Chen H, Li R, Liu Z, Wang Z, Xin Z. Veh. Syst. Dyn. 2020; 58(5): 768-786.

Copyright

(Copyright © 2020, Informa - Taylor and Francis Group)

DOI

10.1080/00423114.2020.1717553

PMID

unavailable

Abstract

This paper proposes a linear predictive lateral control method to stabilise a highly automated vehicle (HAV) at the tire-road friction limits when tracking a (tight) desired path. Two approaches are adopted to linearise the vehicle model around the tire saturation region: (1) the lateral force of the front tire is selected as the control input instead of the steer angle and (2) the rear tire dynamics is locally linearised at the current operating point within the predictive horizon. The friction limits of both the front and rear tires are utilised to define an enveloped stable zone, which serves as the safety constraints for the predictive controller. Simulation results show that the proposed controller is able to stabilise a vehicle when tracking a tight desired path at a high speed even on a low-adhesion road. Moreover, the robustness of the proposed controller is also verified as it tolerates small estimation errors in the road friction coefficient.


Language: en

Keywords

Automated vehicles; lateral control; optimisation; predictive control; tire dynamics

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print