Design and calibration of a novel multiaxis sensor for measuring the wheel–terrain interaction forces of robotic vehicles

地形 校准 工程类 机器人 计算机科学 汽车工程 模拟 人工智能 物理 地理 地图学 量子力学
作者
Lixin Jia,Mujia Shi,Jiantao Shi,Dong Wang,Aiguo Song,Chun‐Yi Su,Lihang Feng
出处
期刊:Sensor Review [Emerald Publishing Limited]
标识
DOI:10.1108/sr-10-2024-0849
摘要

Purpose This paper aims to propose a novel wheel-based multiaxis force sensor designed to detect the interaction forces and moments between the planetary rover’s wheel and the terrain, thereby assisting the rover in environmental perception. Design/methodology/approach The authors’ design approach encompasses the mechanical structure design, decoupling methods and component integration techniques, effectively incorporating multiaxis sensors into the forward-sensing wheel. This enables high-precision and high-reliability detection of wheel–terrain interaction forces and torques. Findings The designed wheel-based multiaxis force sensor exhibits a nonlinearity error of 0.45%, a hysteresis error of 0.56% and a repeatability error of 0.49%, meeting the requirements for practical applications. Furthermore, the effectiveness and stability of the designed wheel-based multidimensional force sensor have been validated through hardware-in-the-loop experiments and full-vehicle model testing. Originality/value Unlike previous methods that directly integrate multiaxis sensors into the forward-sensing wheel, the authors have designed the force sensing wheel with consideration of its limited design space and the need for high measurement accuracy. The effectiveness of the designed wheel-based multidimensional force sensor was ultimately validated through static calibration, hardware-in-the-loop experiments and full-vehicle model experiments.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
2秒前
2秒前
3秒前
贪玩大白菜真实的钥匙完成签到,获得积分10
5秒前
5秒前
5秒前
6秒前
6秒前
6秒前
7秒前
7秒前
7秒前
7秒前
8秒前
aaa发布了新的文献求助10
8秒前
8秒前
8秒前
8秒前
9秒前
9秒前
9秒前
9秒前
9秒前
9秒前
10秒前
11秒前
13秒前
13秒前
13秒前
13秒前
13秒前
13秒前
13秒前
kevin发布了新的文献求助10
15秒前
高兴新儿完成签到,获得积分10
16秒前
16秒前
尉迟三颜发布了新的文献求助10
18秒前
18秒前
小朱不是猪完成签到,获得积分10
19秒前
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Mass participant sport event brand associations: an analysis of two event categories 500
Photodetectors: From Ultraviolet to Infrared 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6354943
求助须知:如何正确求助?哪些是违规求助? 8170135
关于积分的说明 17198967
捐赠科研通 5410957
什么是DOI,文献DOI怎么找? 2864148
邀请新用户注册赠送积分活动 1841727
关于科研通互助平台的介绍 1690150