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首页> 外文期刊>Journal of terramechanics >Predicting mobility performance of a small, lightweight track system using the computer-aided method NTVPM
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Predicting mobility performance of a small, lightweight track system using the computer-aided method NTVPM

机译:使用计算机辅助方法NTVPM预测小型轻量轨道系统的移动性能

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摘要

This paper describes the results of a study of applying the physics-based, computer-aided method - the Nepean Tracked Vehicle Performance Model (NTVPM), originally developed for evaluating the mobility of large, heavy tracked vehicles, to predicting the performance of a small, lightweight track system on sandy soil. The objective is to examine the applicability of NTVPM to predicting the cross-country performance of small, lightweight tracked vehicles on deformable terrain. The performance of the track system predicted by NTVPM is compared with experimental data obtained in a laboratory soil bin by the Robotic Mobility Group, Massachusetts Institute of Technology. It is shown that the correlation between the tractive performance predicted by NTVPM and that measured is reasonably close, as indicated by the values of the coefficient of correlation, coefficient of determination, root mean squared deviation, and coefficient of variation. The results of this study provide evidence for supporting the view that physics-based methods, such as NTVPM, that are developed on the understanding of the physical nature and detailed analysis of vehicle-terrain interaction, are applicable to large, heavy, as well as small, lightweight vehicles, provided that appropriate terrain data are used as input. (C) 2015 ISTVS. Published by Elsevier Ltd. All rights reserved.
机译:本文介绍了基于物理的计算机辅助方法-Nepean履带车辆性能模型(NTVPM)的研究结果,该模型最初用于评估大型,重型履带车辆的机动性,以预测小型车辆的性能。沙质土壤上的轻质履带系统。目的是检验NTVPM在预测可变形地形上的小型轻量履带车辆的越野性能方面的适用性。将NTVPM预测的跟踪系统的性能与麻省理工学院机器人移动小组在实验室土壤箱中获得的实验数据进行了比较。结果表明,NTVPM预测的牵引性能与测得的牵引性能之间的相关性相当接近,如相关系数,确定系数,均方根偏差和变异系数的值所示。这项研究的结果为支持这样的观点提供了证据:基于物理的方法(例如NTVPM)是基于对物理性质的理解和对车辆-地形相互作用的详细分析而开发的,该方法适用于大型,重型以及小型轻便的车辆,前提是使用适当的地形数据作为输入。 (C)2015年ISTVS。由Elsevier Ltd.出版。保留所有权利。

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