A novel whisker sensor with variable detection range for object positioning

材料科学 胡须 磁铁 线性 校准 声学 灵敏度(控制系统) 霍尔效应传感器 复合材料 电子工程 电气工程 物理 量子力学 工程类
作者
Chonglin Zhao,Shouming Zhang,Xie Tao,Lu Zeng
出处
期刊:Review of Scientific Instruments [American Institute of Physics]
卷期号:93 (3) 被引量:3
标识
DOI:10.1063/5.0080873
摘要

The design of a whisker sensor, inspired by mammalian whisker characteristics, is presented in this paper. It uses a novel spring structure to transfer the deformation generated by the whisker tip when it touches an object at the base, which drives the permanent magnet installed at the base to change its position. It achieves precise positioning of the object by using the magnetic induction intensity data output from the Hall sensor MLX90393. Based on the results of the finite element model analysis, the detection range of the whisker sensor can be expanded by replacing the artificial whisker material and selecting a permanent magnet of a suitable size. Calibration experiments and positioning tests were conducted on the sensor. The experimental results showed that the detection radius of the sensor was 24, 30, 33, and 39 mm for the carbon fiber, acrylic, acrylonitrile butadiene styrene plastic (ABS), and nylon whiskers, respectively, when they were matched with a NdFeB annular permanent magnet with an aperture of 3 mm and a thickness of 3 mm. The sensor is small and simple to manufacture with good sensitivity, linearity, hysteresis, and repeatability. The maximum positioning errors of the X and Y positions in the detection plane of the sensor were within ±1.3 mm, and the positioning was accurate. The sensor can be used to identify the shape of an object.

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
nana湘发布了新的文献求助10
2秒前
肥啾发布了新的文献求助10
2秒前
万能图书馆应助pp采纳,获得10
2秒前
蒋信完成签到,获得积分10
2秒前
ryen发布了新的文献求助10
3秒前
541完成签到,获得积分10
3秒前
充电宝应助Yxianzi采纳,获得10
4秒前
6秒前
高贵听云发布了新的文献求助10
6秒前
自信冬瓜完成签到,获得积分10
7秒前
学术脑袋完成签到,获得积分10
7秒前
7秒前
vivvy完成签到,获得积分10
8秒前
8秒前
ryen完成签到,获得积分10
9秒前
思源应助旺旺旺采纳,获得10
9秒前
11秒前
积极璎完成签到,获得积分10
11秒前
司斯完成签到 ,获得积分10
11秒前
kll完成签到,获得积分10
11秒前
12秒前
leeSongha完成签到 ,获得积分10
12秒前
李健发布了新的文献求助10
12秒前
宫野珏发布了新的文献求助10
13秒前
bgt完成签到,获得积分10
13秒前
13秒前
科目三应助常常采纳,获得10
14秒前
15秒前
典雅长颈鹿完成签到,获得积分10
15秒前
学术脑袋发布了新的文献求助10
16秒前
义气兔子发布了新的文献求助10
16秒前
16秒前
高贵听云完成签到 ,获得积分10
17秒前
火星上芹菜完成签到,获得积分10
17秒前
Lucas应助宫野珏采纳,获得10
17秒前
17秒前
小黄黄发布了新的文献求助10
17秒前
WStarry完成签到,获得积分10
18秒前
楚慈发布了新的文献求助10
21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
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
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 6359756
求助须知:如何正确求助?哪些是违规求助? 8173788
关于积分的说明 17215697
捐赠科研通 5414746
什么是DOI,文献DOI怎么找? 2865633
邀请新用户注册赠送积分活动 1842939
关于科研通互助平台的介绍 1691148