Optimized Thermocouple Temperature Sensor using 555 Timer and ANN Based Linearization

Debarpan Bhattacharya, Pranabendra Prasad Chandra, Biswajit Bhattacharyya, S. Munshi
{"title":"Optimized Thermocouple Temperature Sensor using 555 Timer and ANN Based Linearization","authors":"Debarpan Bhattacharya, Pranabendra Prasad Chandra, Biswajit Bhattacharyya, S. Munshi","doi":"10.1109/CALCON49167.2020.9106536","DOIUrl":null,"url":null,"abstract":"The presented work reports a low-cost, two-stage linearization scheme for thermocouple based temperature sensing. The first stage involves IC555 based astable multivibrator. An NTC thermistor is employed as a discharging resistor of multivibrator to facilitate reference junction compensation as well as the measurement of ambient temperature. The second stage of linearization employs ANN based fitting between the output of IC555 and true temperature. The linearization scheme uses a trade-off between the fast response of IC555 based arrangement and exorbitant accuracy of ANN-based arrangement, to optimize the performance of the sensor. The PSpice based simulation study is carried out with a T-type thermocouple for temperature range of 80°C to 125°C while the ambient temperature varies from 25°C up to 40°C. It offers absolute maximum full-scale error of 0.13%, as little as in the best existing literature, with a reduced computational burden upon the processing unit. Keywords—ANN, As table Multivibrator, IC555, Linearization, Temperature sensor.","PeriodicalId":318478,"journal":{"name":"2020 IEEE Calcutta Conference (CALCON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Calcutta Conference (CALCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CALCON49167.2020.9106536","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The presented work reports a low-cost, two-stage linearization scheme for thermocouple based temperature sensing. The first stage involves IC555 based astable multivibrator. An NTC thermistor is employed as a discharging resistor of multivibrator to facilitate reference junction compensation as well as the measurement of ambient temperature. The second stage of linearization employs ANN based fitting between the output of IC555 and true temperature. The linearization scheme uses a trade-off between the fast response of IC555 based arrangement and exorbitant accuracy of ANN-based arrangement, to optimize the performance of the sensor. The PSpice based simulation study is carried out with a T-type thermocouple for temperature range of 80°C to 125°C while the ambient temperature varies from 25°C up to 40°C. It offers absolute maximum full-scale error of 0.13%, as little as in the best existing literature, with a reduced computational burden upon the processing unit. Keywords—ANN, As table Multivibrator, IC555, Linearization, Temperature sensor.
利用555定时器和基于神经网络的线性化优化热电偶温度传感器
本文报道了一种基于热电偶温度传感的低成本、两阶段线性化方案。第一阶段涉及基于IC555的稳态多谐振荡器。采用NTC热敏电阻作为多振子的放电电阻,以方便参考结补偿和环境温度的测量。线性化的第二阶段采用基于人工神经网络的IC555输出与真实温度之间的拟合。线性化方案在基于IC555布置的快速响应和基于人工神经网络布置的过高精度之间进行权衡,以优化传感器的性能。基于PSpice的模拟研究使用t型热电偶进行,温度范围为80°C至125°C,环境温度范围为25°C至40°C。它提供的绝对最大全尺寸误差为0.13%,与现有最佳文献中的误差一样小,并且减少了处理单元的计算负担。关键词:人工神经网络,多谐振荡器,IC555,线性化,温度传感器
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信