用于水泵应用的太阳能电机驱动物联网监控方案

E. Malarvizhi, G. E. Visuvanathan, M. Tholkapiyan, S. Parthasarathy
{"title":"用于水泵应用的太阳能电机驱动物联网监控方案","authors":"E. Malarvizhi, G. E. Visuvanathan, M. Tholkapiyan, S. Parthasarathy","doi":"10.1109/ICECAA58104.2023.10212379","DOIUrl":null,"url":null,"abstract":"A solar PhotoVoltaic (PV) water pumping system is a possible replacement for traditional power and diesel-based pumping systems, particularly in agriculture and water distribution in communities. This paper describes the PV-fed BrushLess Direct Current (BLDC) motor for water pump application and the motor parameters are monitored using Internet of Things (IoT) technology. At the intermediate phase, an effective direct current (DC)/DC converter is necessary to get the most power out of the solar array. The PV array is run at its highest power using a cuk converter with the Maximum Power Point Tracking (MPPT) using Incremental conductance (IC) method. The converter is connected to a voltage source inverter (VSI) which feeds the BLDC motor by controlling its switches. Using the back electromotive force (EMF) observer, the motor's current and speed is inferred from the terminal currents and voltages. The IoT monitoring scheme is integrated into the system and a sensor is used to collect data about motor status, which may then be viewed remotely on a monitoring panel that includes a web application. The overall performance of the developed model is examined using Matlab results.","PeriodicalId":114624,"journal":{"name":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"IoT Monitoring Scheme in Solar-based Motor Drive for Water Pump Applications\",\"authors\":\"E. Malarvizhi, G. E. Visuvanathan, M. Tholkapiyan, S. Parthasarathy\",\"doi\":\"10.1109/ICECAA58104.2023.10212379\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A solar PhotoVoltaic (PV) water pumping system is a possible replacement for traditional power and diesel-based pumping systems, particularly in agriculture and water distribution in communities. This paper describes the PV-fed BrushLess Direct Current (BLDC) motor for water pump application and the motor parameters are monitored using Internet of Things (IoT) technology. At the intermediate phase, an effective direct current (DC)/DC converter is necessary to get the most power out of the solar array. The PV array is run at its highest power using a cuk converter with the Maximum Power Point Tracking (MPPT) using Incremental conductance (IC) method. The converter is connected to a voltage source inverter (VSI) which feeds the BLDC motor by controlling its switches. Using the back electromotive force (EMF) observer, the motor's current and speed is inferred from the terminal currents and voltages. The IoT monitoring scheme is integrated into the system and a sensor is used to collect data about motor status, which may then be viewed remotely on a monitoring panel that includes a web application. The overall performance of the developed model is examined using Matlab results.\",\"PeriodicalId\":114624,\"journal\":{\"name\":\"2023 2nd International Conference on Edge Computing and Applications (ICECAA)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 2nd International Conference on Edge Computing and Applications (ICECAA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICECAA58104.2023.10212379\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 2nd International Conference on Edge Computing and Applications (ICECAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECAA58104.2023.10212379","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

太阳能光伏(PV)抽水系统是传统的电力和柴油抽水系统的可能替代品,特别是在农业和社区供水方面。本文介绍了一种用于水泵的无刷直流(BLDC)电机,并利用物联网技术对电机参数进行监控。在中间阶段,一个有效的直流(DC)/直流转换器是必要的,以获得太阳能电池阵列的最大功率。光伏阵列使用cuk变换器以最高功率运行,并使用增量电导(IC)方法进行最大功率点跟踪(MPPT)。转换器连接到电压源逆变器(VSI),通过控制其开关为无刷直流电机供电。利用反电动势(EMF)观测器,从终端电流和电压推断电机的电流和速度。物联网监控方案集成到系统中,传感器用于收集有关电机状态的数据,然后可以在包括web应用程序的监控面板上远程查看这些数据。利用Matlab测试结果对模型的整体性能进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
IoT Monitoring Scheme in Solar-based Motor Drive for Water Pump Applications
A solar PhotoVoltaic (PV) water pumping system is a possible replacement for traditional power and diesel-based pumping systems, particularly in agriculture and water distribution in communities. This paper describes the PV-fed BrushLess Direct Current (BLDC) motor for water pump application and the motor parameters are monitored using Internet of Things (IoT) technology. At the intermediate phase, an effective direct current (DC)/DC converter is necessary to get the most power out of the solar array. The PV array is run at its highest power using a cuk converter with the Maximum Power Point Tracking (MPPT) using Incremental conductance (IC) method. The converter is connected to a voltage source inverter (VSI) which feeds the BLDC motor by controlling its switches. Using the back electromotive force (EMF) observer, the motor's current and speed is inferred from the terminal currents and voltages. The IoT monitoring scheme is integrated into the system and a sensor is used to collect data about motor status, which may then be viewed remotely on a monitoring panel that includes a web application. The overall performance of the developed model is examined using Matlab results.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Deep Learning based Sentiment Analysis on Images A Comprehensive Analysis on Unconstraint Video Analysis Using Deep Learning Approaches An Intelligent Parking Lot Management System Based on Real-Time License Plate Recognition BLIP-NLP Model for Sentiment Analysis Botnet Attack Detection in IoT Networks using CNN and LSTM
×
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