Slosh Measuring Sensor System for Liquid-Carrying Robots

IF 2.2 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Sensors Letters Pub Date : 2024-10-02 DOI:10.1109/LSENS.2024.3473688
Luke J. Weaver;S. M. Bhagya P. Samarakoon;M. A. Viraj J. Muthugala;Mohan Rajesh Elara;Zaki S. Saldi
{"title":"Slosh Measuring Sensor System for Liquid-Carrying Robots","authors":"Luke J. Weaver;S. M. Bhagya P. Samarakoon;M. A. Viraj J. Muthugala;Mohan Rajesh Elara;Zaki S. Saldi","doi":"10.1109/LSENS.2024.3473688","DOIUrl":null,"url":null,"abstract":"Liquid-carrying robots require slosh suppression methods to improve their performance. To design these systems requires effective slosh measurement. State-of-the-Art slosh estimation methods have limitations, which include solely handling unidirectional motion or relying on theoretical models. This letter proposes a novel sensor array for measuring sloshing in liquid-carrying mobile robots. The proposed system offers two key contributions: first, it enables comprehensive measurement and visualization of sloshing during omnidirectional movements, and second, it provides a compact and seamless integration into mobile robots, enabling them to mitigate the adverse effects of sloshing. The sensor system has been developed using 14 time-of-flight range sensors. The range sensors are connected to an Arduino Mega through I\n<inline-formula><tex-math>$^{2}$</tex-math></inline-formula>\n C communication. A 3-D visualization method has also been developed to visualize the sloshing. The sensor array was integrated into a mobile robot for validation. Utilizing the 3-D visualization method, the sensor system can reconstruct the liquid surface with a sampling rate of 17.8 Hz. The experimental results confirm that the proposed sensor system effectively measures sloshing during omnidirectional movement of the robot.","PeriodicalId":13014,"journal":{"name":"IEEE Sensors Letters","volume":"8 11","pages":"1-4"},"PeriodicalIF":2.2000,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Letters","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10704044/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Liquid-carrying robots require slosh suppression methods to improve their performance. To design these systems requires effective slosh measurement. State-of-the-Art slosh estimation methods have limitations, which include solely handling unidirectional motion or relying on theoretical models. This letter proposes a novel sensor array for measuring sloshing in liquid-carrying mobile robots. The proposed system offers two key contributions: first, it enables comprehensive measurement and visualization of sloshing during omnidirectional movements, and second, it provides a compact and seamless integration into mobile robots, enabling them to mitigate the adverse effects of sloshing. The sensor system has been developed using 14 time-of-flight range sensors. The range sensors are connected to an Arduino Mega through I $^{2}$ C communication. A 3-D visualization method has also been developed to visualize the sloshing. The sensor array was integrated into a mobile robot for validation. Utilizing the 3-D visualization method, the sensor system can reconstruct the liquid surface with a sampling rate of 17.8 Hz. The experimental results confirm that the proposed sensor system effectively measures sloshing during omnidirectional movement of the robot.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于液体输送机器人的湍流测量传感器系统
运载液体的机器人需要抑制荡流的方法来提高其性能。设计这些系统需要有效的荡流测量。最新的荡流估计方法存在局限性,包括只能处理单向运动或依赖理论模型。这封信提出了一种新型传感器阵列,用于测量运载液体的移动机器人的荡液量。该系统有两大贡献:首先,它能全面测量和可视化全向运动过程中的淤积情况;其次,它能与移动机器人紧凑无缝地集成在一起,使其能够减轻淤积带来的不利影响。传感器系统的开发使用了 14 个飞行时间测距传感器。测距传感器通过 I$^{2}$ C 通信连接到 Arduino Mega。此外,还开发了一种三维可视化方法,用于可视化荡流。传感器阵列被集成到一个移动机器人中进行验证。利用三维可视化方法,传感器系统能以 17.8 Hz 的采样率重建液体表面。实验结果证实,所提出的传感器系统能有效测量机器人全向移动过程中的荡液量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IEEE Sensors Letters
IEEE Sensors Letters Engineering-Electrical and Electronic Engineering
CiteScore
3.50
自引率
7.10%
发文量
194
期刊最新文献
Front Cover IEEE Sensors Council Information Table of Contents IEEE Sensors Letters Subject Categories for Article Numbering Information IEEE Sensors Letters Publication Information
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1