A Study on Mechanical Power Transmission of the Human Body Using an All Four Limbs Based Energy Harvester

G. A. P. Jaiiitli, R. Wijesiriwardana, W. Wijayapala
{"title":"A Study on Mechanical Power Transmission of the Human Body Using an All Four Limbs Based Energy Harvester","authors":"G. A. P. Jaiiitli, R. Wijesiriwardana, W. Wijayapala","doi":"10.1109/ICECIE52348.2021.9664740","DOIUrl":null,"url":null,"abstract":"Four limbs-based energy harvester is an equipment that converts human mechanical power into electrical power using a DC generator-based electrical system. The study was conducted to identify the human mechanical power transmission of a four limbs-based energy harvester and to determine the minimum, maximum and average electrical power, a person can generate through upper and lower limbs of the body. This paper discusses the working principle of the energy harvester, the power generation of the lower limbs, the power generation of the upper limbs, the instantaneous change in power with phase difference in hand and leg crank angles and the average change in power with crank angular frequency. The variation in input power given by the four limbs (hands and legs) of a person and the variation in electrical power output with time are analyzed using simulation models, while changing the pedal cycle time and phase difference between the hand pedal crank and the leg pedal crank. The results of the study is used to determine how much power a person can generate with their upper and lower limbs separately and how to achieve maximum stable electrical power output from the all four limbs-based energy harvester.","PeriodicalId":309754,"journal":{"name":"2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Electrical, Control and Instrumentation Engineering (ICECIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECIE52348.2021.9664740","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Four limbs-based energy harvester is an equipment that converts human mechanical power into electrical power using a DC generator-based electrical system. The study was conducted to identify the human mechanical power transmission of a four limbs-based energy harvester and to determine the minimum, maximum and average electrical power, a person can generate through upper and lower limbs of the body. This paper discusses the working principle of the energy harvester, the power generation of the lower limbs, the power generation of the upper limbs, the instantaneous change in power with phase difference in hand and leg crank angles and the average change in power with crank angular frequency. The variation in input power given by the four limbs (hands and legs) of a person and the variation in electrical power output with time are analyzed using simulation models, while changing the pedal cycle time and phase difference between the hand pedal crank and the leg pedal crank. The results of the study is used to determine how much power a person can generate with their upper and lower limbs separately and how to achieve maximum stable electrical power output from the all four limbs-based energy harvester.
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
基于四肢能量采集器的人体机械动力传输研究
四肢能量采集器是一种利用直流发电机为基础的电力系统将人的机械能转化为电能的设备。本研究旨在确定基于四肢的能量采集器的人体机械动力传输,并确定人体通过上肢和下肢可以产生的最小、最大和平均电功率。本文讨论了能量采集器的工作原理、下肢发电、上肢发电、手、腿曲柄角度相位差瞬时功率变化和曲柄角频率平均功率变化。利用仿真模型,分析了在改变踏板周期时间和手蹬曲柄与腿蹬曲柄的相位差的情况下,人的四肢(手和腿)输入功率的变化以及输出电功率随时间的变化。研究结果用于确定一个人的上肢和下肢分别可以产生多少能量,以及如何从基于四肢的能量收集器中获得最大稳定的电力输出。
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
自引率
0.00%
发文量
0
期刊最新文献
The Effect of Single Tuned Filter on Coordinated Planning in Increasing Power Quality in Radial Distribution System Design of Voice Synchronized Robotic Lips Detecting COVID-19 from Chest X-Ray Images using a Lightweight Deep Transfer Learning Model with Improved Contrast Enhancement Technique AGC of Hydro-Thermal Power Systems Using Sine Cosine Optimization Algorithm A Survey of Rainfall Prediction Using Deep Learning
×
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