Dynamic Quantitative Analysis for Large Scale Skid-Steered UGV

Yongli Wang, Zhonghu Hao, Kang Zhou*

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

A novel and academically rigorous approach is presented in this study, which focuses on analyzing the steering characteristics of a large-scale skid-steered unmanned ground vehicle (UGV) through the development of a kinetic model based on movement characteristics and moving rules. The model construction process carefully incorporates the steering characteristics, along with crucial geometric and kinematic features. Experimental validation is carried out using a specially designed large-scale UGV. Preliminary experiments reveal that the occurrence of slippage introduces lower errors in actual velocity measurements between the two sides of the UGV compared to obtained from direct wheel velocity. Moreover, the width of the UGV is observed to be significantly larger than its actual value. Subsequent experiments employ an Inertial Navigation System (INS) to acquire highly accurate measurements of the UGV’s moving velocity. By utilizing the standard velocities derived from the precise moving velocity measurements, the real-time calculation of the actual turning radius is made possible while fully accounting for the slippage characteristics. This comprehensive validation process serves to substantiate the proposed kinetic model effectively. This work introduces a promising avenue for investigating the slippage characteristics, particularly for this specific type of UGV, thereby contributing to both academic research and practical engineering operations.

源语言英语
主期刊名Proceedings of 3rd International Conference on Autonomous Unmanned Systems, ICAUS 2023 - Volume 7
编辑Yi Qu, Mancang Gu, Yifeng Niu, Wenxing Fu
出版商Springer Science and Business Media Deutschland GmbH
27-40
页数14
ISBN(印刷版)9789819711024
DOI
出版状态已出版 - 2024
活动3rd International Conference on Autonomous Unmanned Systems, ICAUS 2023 - Nanjing, 中国
期限: 9 9月 202311 9月 2023

出版系列

姓名Lecture Notes in Electrical Engineering
1177 LNEE
ISSN(印刷版)1876-1100
ISSN(电子版)1876-1119

会议

会议3rd International Conference on Autonomous Unmanned Systems, ICAUS 2023
国家/地区中国
Nanjing
时期9/09/2311/09/23

指纹

探究 'Dynamic Quantitative Analysis for Large Scale Skid-Steered UGV' 的科研主题。它们共同构成独一无二的指纹。

引用此