An Improved Pure Pursuit Algorithm for the Automated Steering Control of Road Vehicles
Paper in proceeding, 2024

Pure Pursuit (PP) is the most popularly used path tracking algorithm for automated steering. In its classic form, PP requires careful tuning of the preview distance. A small preview generally improves the vehicle path tracking but can cause instability issues at high speeds. Considering this, we introduce an automatic adjustment technique for the preview distance which improves both path tracking and lateral stability of the vehicle. This is combined with a yaw rate feedback to form an improved PP controller. Simulations in TruckMaker show that the designed controller can successfully keep an articulated HGV (a tractor-semitrailer) stable, even at higher speeds. Path tracking performance is also improved, here by 60.6% for an SAE J2179 lane change maneuver, compared to classic PP.

Automated Steering

Pure Pursuit

Path Tracking

Heavy Goods Vehicle

Author

Shammi Rahman

University of Lincoln

Tim Gordon

University of Lincoln

Y. Gao

Volvo Group

Leon Henderson

Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems

Leo Laine

Chalmers, Mechanics and Maritime Sciences (M2)

Lecture Notes in Mechanical Engineering

21954356 (ISSN) 21954364 (eISSN)

586-595
9783031669675 (ISBN)

28th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2023
Ottawa, Canada,

Subject Categories

Vehicle Engineering

Control Engineering

DOI

10.1007/978-3-031-66968-2_57

More information

Latest update

11/8/2024