Tire Force Estimation of Unmanned Ground Vehicles on Off-Road Terrains for Navigation Decisions

被引:0
|
作者
Wilson, Graeme Neff [1 ]
Ramirez-Serrano, Alejandro [1 ]
Sun, Qiao [1 ]
机构
[1] Univ Calgary, Dept Mech & Mfg Engn, 2500 Univ Dr NW, Calgary, AB T2N 1N4, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
TRAVERSABILITY ANALYSIS; MODEL;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes a method of tire force estimation designed for use in navigation decision making for Unmanned Ground Vehicles (UGVs) operating on off-road terrains. This method (called the Centroid Method) uses a 3D point cloud representation of the terrain to determine tire-ground interaction, and a linear spring to determine the corresponding tire forces. Simulation results of tire force estimation of the Centroid Method are compared against the experimentally validated MF-Swift model, including on a fractal terrain surface which simulates a rough off-road terrain. The results show that the Centroid Method performs well for longitudinal and vertical tire force estimation especially for lower frequencies up to about 8-21Hz. Although the Centroid Method does not provide the same detail as the advanced tire models such as MF-Swift, it is significantly less complex and simpler to implement for enabling efficient on-board UGV navigation decision making.
引用
收藏
页码:6923 / 6928
页数:6
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