Vehicle-terrain interaction modeling and identification in rough terrain

被引:0
|
作者
Seneviratne, Lakmal [1 ]
Althoefer, Kaspar [1 ]
Zweiri, Yahya [1 ]
Hutangkabodee, Suksun [1 ]
Song, Zibin [1 ]
Song, Xiaojing [1 ]
Chhaniyara, Savan [1 ]
机构
[1] Kings Coll London, Dept Mech Engn, London, England
关键词
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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
Ground vehicles traversing rough unknown terrain has many applications in a range of industries including agriculture, defence, mining, space exploration and construction. The interaction dynamics between the vehicle and the terrain play a crucial role in determining the mobility characteristics of the vehicle. The two critical parameters that influence the interaction dynamics are the wheel slip and the unknown soil parameters. An algorithm for identifying unknown soil parameters. An algorithm for identifying unknown soil parameters based on a dynamic model and sensor feedback is presented. A method for estimating vehicle slip parameters based on an optical flow algorithm and a sliding mode observer is also presented. The algorithms are developed for both tracked and wheeled vehicles. The algorithms are tested and evaluated using two specially designed test rigs, and test results are presented in the paper.
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页码:11 / 15
页数:5
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