An adapted Burckhardt tire model for off-road vehicle applications. (December 2022)

• Record Type: Journal Article
• Authors: Vieira, David; Orjuela, Rodolfo; Spisser, Matthias; Basset, Michel
• Is Part Of: Journal of terramechanics. Volume 104(2022)
• Page Start: 15
• Page End: 24
• Publication Date: 2022-12
• Subjects: Off-road -- Wheeled vehicle -- Soft Soils -- Control-oriented tire model -- Tire parameter estimation -- Adapted Burckhardt Tire Model (ABTM); Trafficability -- Periodicals; Praticabilité (Routes) -- Périodiques; Trafficability; Periodicals; 629.222
• DOI: 10.1016/j.jterra.2022.08.001
• Languages: English
• ISSNs: 0022-4898

Abstract

Highlights: The adaptation of the Burckhardt tire model to off-road applications. The structural analysis of the shape coefficients involved in the proposed tire model. An estimation methodology for the proposed off-road tire model coefficients. The development of a virtual flat-trac for data acquisition using Chrono Simulator. The obtainment of a linear off-road tire model for control applications. Abstract: Off-road vehicle mobility is a real challenge in many areas such as agriculture, military, or construction machinery. The introduction of autonomous vehicles in these fields requires more advanced control algorithms. Furthermore, the deformable nature of the terrain has a significant impact on vehicle behavior. In this context, a lot of research has been conducted to describe the wheel-ground interaction phenomena. Among the most significant factors, traction force, lateral force, and wheel sinkage are crucial aspects in the study of vehicle mobility. One of the most used approaches is based on the Bekker-Wong description. However, due to the mathematical complexity of this model, this approach is rather intended for vehicle simulation. Since the design of control laws requires less complex models, this paper proposes a method based on a road tire model structure adapted to deformable surfaces. This modification is based on the original Burckhardt tire model with a modified structure and estimated parameters. Furthermore, the parameter identification is performed by simulating a realistic virtual test bench allowing the data collection for the parameter estimation process. Finally, the obtained results show the applicability of the proposed method through a new tire model called the Adapted Burchardt Tire Model (ABTM).