Analysis and experimental research on the characteristic of skid steering vehicle based on a dynamic analysis model

Skid steering vehicle is mainly used in complex terrains, such as gravel roads and muddy roads, which requires platform with ability to adapt three-dimensional unstructured terrains and good cross-country motor performance. In this paper, in order to analyze dynamic characteristics in the process of...

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Veröffentlicht in:Multimedia tools and applications 2020-04, Vol.79 (15-16), p.10309-10326
Hauptverfasser: Ren, Feng, Jiang, Zhengying, Chen, Jinshi, Liu, Boliang
Format: Artikel
Sprache:eng
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Zusammenfassung:Skid steering vehicle is mainly used in complex terrains, such as gravel roads and muddy roads, which requires platform with ability to adapt three-dimensional unstructured terrains and good cross-country motor performance. In this paper, in order to analyze dynamic characteristics in the process of driving, the vehicle’s dynamic characteristics analysis model is raised. According to the slip and track slip properties of tyre and ground, a theoretical model of dynamic characteristic of Skid steering vehicle is established, and effects of ground parameters on vehicle performance are analyzed. In order to establish a dynamic analysis model of engineering, AMESim software platform and Motion software platform are used to construct a multi-physical field coupling analysis model for Skid steering vehicle so that accurate quantitative analysis on wheel contact characteristics is carried out. In order to verify the theoretical model and the accuracy of physical field coupling analysis model, a real Skid steering vehicle is used for tests. Through collecting the system pressures and flow characteristic, wheel contact characteristic of Skid steering wheel is analyzed. Simulation and experimental results show that compared with the test data, theoretical model, and physical field coupling analysis have high precision. Compared with test data, the error is within 10%, which can be used to Skid steering vehicle’s research and development and performance prediction.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-019-7341-x