Converting an Analog Signal from a Magneto-Resistive Current Sensor Using a PLL Circuit

M. Rafael
{"title":"Converting an Analog Signal from a Magneto-Resistive Current Sensor Using a PLL Circuit","authors":"M. Rafael","doi":"10.1109/EICONRUS.2019.8657132","DOIUrl":null,"url":null,"abstract":"Analog to digital conversion is an important part of almost any electronic system that includes analog sensors. Currently, the characteristics of analog-to-digital converters (ADC) meet the most modern requirements of the electronics industry. These requirements include such parameters as noise immunity, implementation complexity, manufacturing cost, conversion accuracy, and frequency.This article describes the principle of converting an analog signal into a pulse duration based on a phase-locked loop (PLL). An analog signal received from a magneto-resistive current sensor, which is used to convert a magnetic field into a voltage. Building a PLL-based ADC gives a number of advantages. Negative feedback of the PLL circuit allows the device to minimize the errors of the passive circuit elements, including the effect of temperatures on the resistor ratings and filter interference at coherent conversion frequencies.","PeriodicalId":6748,"journal":{"name":"2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","volume":"7 1","pages":"2079-2082"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EICONRUS.2019.8657132","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

Analog to digital conversion is an important part of almost any electronic system that includes analog sensors. Currently, the characteristics of analog-to-digital converters (ADC) meet the most modern requirements of the electronics industry. These requirements include such parameters as noise immunity, implementation complexity, manufacturing cost, conversion accuracy, and frequency.This article describes the principle of converting an analog signal into a pulse duration based on a phase-locked loop (PLL). An analog signal received from a magneto-resistive current sensor, which is used to convert a magnetic field into a voltage. Building a PLL-based ADC gives a number of advantages. Negative feedback of the PLL circuit allows the device to minimize the errors of the passive circuit elements, including the effect of temperatures on the resistor ratings and filter interference at coherent conversion frequencies.
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
用锁相环电路转换来自磁阻电流传感器的模拟信号
模数转换是几乎所有包含模拟传感器的电子系统的重要组成部分。目前,模数转换器(ADC)的特性满足了电子工业最现代化的要求。这些要求包括噪声抗扰度、实现复杂性、制造成本、转换精度和频率等参数。本文描述了基于锁相环(PLL)将模拟信号转换为脉冲持续时间的原理。从磁阻电流传感器接收到的模拟信号,用于将磁场转换为电压。构建基于锁相环的ADC具有许多优点。锁相环电路的负反馈使器件能够最大限度地减少无源电路元件的误差,包括温度对电阻额定值的影响和相干转换频率下的滤波器干扰。
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 Quality of Indonesian Scientific Articles and Its Neighboring Countries Study of Electrodynamic Levitation Force in a Traction Linear Induction Motor Mathematical Modeling of the Fabry-Perot Interferometer Based on Silicon Plates for Application in Microfluid Sensor Devices The Development Of The Information-Logical Model Of Image Recognition By The Invariant Characteristics Using Statistical Analysis to Fine-Tune the Results of Knapsack-Based Computational Platform Benchmarking
×
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