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Automated Steering Control for Articulated Off-Highway Machines

Wang, Zezhou ORCID iD icon 1; Janocha, Magdalena; Michiels, Lukas; Kazenwadel, Benjamin ORCID iD icon 1; Geimer, Marcus 1
1 Institut für Fahrzeugsystemtechnik (FAST), Karlsruher Institut für Technologie (KIT)

Abstract:

Automated steering control is a more and more important function for Articulated Off-Highway Machines (AOHMs) operating in construction, mining, and forestry. Their articulation-based kinematics enable high maneuverability but also introduce challenges for lateral control, particularly when tracking paths with large curvature or frequent directional changes. In the forestry industry, AOHMs must achieve precise and stable path tracking in unstructured environments, where disturbances and dynamic path updates are common. This paper investigates a combined control approach that combines a Pure Pursuit (PP) and a Stanley (ST) controller into a feedforward–feedback framework tailored to AOHMs. As an example application in an AOHM, a forwarder is used in simulations on four representative paths—circular, sinusoidal, straight, and real-world trajectories—in both forward and backward driving. The results show that the PP-ST controller consistently outperforms the individual controllers, achieving maximum lateral errors below 0.2 ‍m across all test paths. Robustness analysis under dynamic steering and velocity noise, payload variation, and initial offsets demonstrates convergence in all cases, with steady-state lateral errors remaining within 0.1 ‍m. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000194175
Veröffentlicht am 12.06.2026
Originalveröffentlichung
DOI: 10.13052/rp-9788743814771A02
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Fahrzeugsystemtechnik (FAST)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2026
Sprache Englisch
Identifikator ISBN: 978-87-438-1477-1
KITopen-ID: 1000194175
Erschienen in FLUID POWER: Enabling Future Technologies
Veranstaltung 15th International Fluid Power Conference (IFK 2026), Aachen, Deutschland, 09.03.2026 – 11.03.2026
Verlag River Publishers
Seiten 1–19
Schlagwörter Fluid Power, AI, Mobile Systems, Controls, Tribology, Pumps, Valves, Fluids, Digital Transformation, Pneumatics, Fluid 4.0, Seals, Data & Sensors
Nachgewiesen in OpenAlex
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