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Artificial Flow Guidance Method for Combined Off-Tracking and Stability Improvement for Automated Articulated Vehicles.

Authors :
Rahman, Shammi
Gordon, Timothy
Qingwei Liu
Yangyan Gao
Henderson, Leon
Laine, Leo
Source :
Journal of Dynamic Systems, Measurement, & Control. May2024, Vol. 146 Issue 3, p1-15. 15p.
Publication Year :
2024

Abstract

This paper considers an integrated control method combining autonomous driving and active steering. By using artificial flow guidance (AFG), the steering at all five axles on a tractor-semitrailer are synchronized for precise low-speed path tracking and improved lateral stability. AFG is a motion planning method which uses velocity vectors to guide the motion of the vehicle; here, two modification on AFG are proposed to form the integrated-AFG which improves the transient performance and generalizes the choice of the tracking points. Simulations rendered in TruckMaker show submillimeter level steady-state off-tracking for a broad speed range, with maximum deviation being 1 cm for a high-speed lane change; amplification of trailer lateral motion is also suppressed, with rearward amplification (RWA) < 1 maintained throughout. This control method is robust to changes in key parameters such as trailer mass and road friction coefficient. The methods presented provide a new foundation for implementing automated freight transportation on highways. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00220434
Volume :
146
Issue :
3
Database :
Academic Search Index
Journal :
Journal of Dynamic Systems, Measurement, & Control
Publication Type :
Academic Journal
Accession number :
176491293
Full Text :
https://doi.org/10.1115/1.4064173