Speed Control of BLDC Motor fed from Solar PV Array using Particle Swarm Optimization

Prakhar Srivastava, V. Tiwari
{"title":"Speed Control of BLDC Motor fed from Solar PV Array using Particle Swarm Optimization","authors":"Prakhar Srivastava, V. Tiwari","doi":"10.1109/SMART50582.2020.9337111","DOIUrl":null,"url":null,"abstract":"In this paper, Brushless DC motor speed has been controlled using the Particle Swarm Optimization (PSO) technique. Appropriate parameters i.e. Kp and Ki for the PI controller can be found using the PSO technique. The system is supplied from a Solar PV Array along with the MPPT technique to fetch its maximum efficiency from the solar array. The end result shows that the Solar fed controller based on PSO can control the BLDC motor speed.","PeriodicalId":129946,"journal":{"name":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","volume":"356 8","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 9th International Conference System Modeling and Advancement in Research Trends (SMART)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SMART50582.2020.9337111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

In this paper, Brushless DC motor speed has been controlled using the Particle Swarm Optimization (PSO) technique. Appropriate parameters i.e. Kp and Ki for the PI controller can be found using the PSO technique. The system is supplied from a Solar PV Array along with the MPPT technique to fetch its maximum efficiency from the solar array. The end result shows that the Solar fed controller based on PSO can control the BLDC motor speed.
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
基于粒子群算法的太阳能光伏阵列无刷直流电机转速控制
本文采用粒子群优化(PSO)技术对无刷直流电动机进行转速控制。可以使用PSO技术找到PI控制器的适当参数,即Kp和Ki。该系统由太阳能光伏阵列以及MPPT技术提供,以从太阳能阵列获得最大效率。实验结果表明,基于粒子群算法的太阳能馈电控制器能够有效地控制无刷直流电机的转速。
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
Oral Disease Detection using Neural Network A Review on Effectiveness of Artificial Intelligence Techniques in the Detection of COVID-19 Accident Avoidance Simulation using SUMO Gesture-Based Model of Mixed Reality Human-Computer Interface The Survey of Digital Image Analysis with Artificial Intelligence- DCNN Technique
×
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