Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Similarities between wheels and tracks: A "tire model" for tracked vehicles

Zhang, Ruizeng, Zhou, Wei, Liu, Haiou, Gong, Jianwei, Chen, Huiyan and Khajepour, Amir 2024. Similarities between wheels and tracks: A "tire model" for tracked vehicles. IEEE Transactions on Vehicular Technology 10.1109/TVT.2024.3421285

[thumbnail of Similarities_between_Wheels_and_Tracks__A__Tire_Model__for_Tracked_Vehicles.pdf]
Preview
PDF - Accepted Post-Print Version
Download (11MB) | Preview

Abstract

As an important component of land transportation systems, tracked vehicles (TRVs) and wheeled vehicles (WVs) have developed independently in parallel, particularly in the modeling of vehicle-ground interactions. However, their differences are not as significant as they appear. This paper introduces a simplified terramechanics-based track-ground interaction model for the motion control of TRVs on firm ground. The simplified interaction model addresses the problem that the terramechanicsbased models are too complex to be applied to optimizationbased real-time control algorithms. Interestingly, the proposed track-ground interaction model closely resembles to the tire model used for WVs. Through comparison, we present the unified mechanisms underlying vehicle-ground interactions. In our approach, TRVs can be treated as a special type of skid-steer WV, which benefits the theories and methods of wheel vehicles to be deployed in the TRV domain. Finally, we verify the proposed interaction model with extensive dynamic data from a real dual motor-driven TRV to demonstrate its effectiveness.

Item Type: Article
Date Type: Published Online
Status: In Press
Schools: Computer Science & Informatics
Publisher: Institute of Electrical and Electronics Engineers
ISSN: 0018-9545
Date of First Compliant Deposit: 18 July 2024
Date of Acceptance: 24 June 2024
Last Modified: 09 Nov 2024 05:15
URI: https://orca.cardiff.ac.uk/id/eprint/170672

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics