Electrical Automation Control System Based on Brovey Algorithm

Shan-Yau Wu
{"title":"Electrical Automation Control System Based on Brovey Algorithm","authors":"Shan-Yau Wu","doi":"10.1109/IPEC54454.2022.9777575","DOIUrl":null,"url":null,"abstract":"The development of industrial enterprises can drive the rapid development of the country’s social economy, and industrial enterprises want to stably and quickly improve the quality and speed of production, they are inseparable from the innovation and application of science and technology. Production efficiency in industrial manufacturing is extremely important, which requires a high-performance electrical automation control system to assist industrial production. Therefore, this paper studies the electrical automation control system based on Brovey algorithm, the purpose is to design an efficient and stable electrical automation control system for industrial production. At the beginning, the related content of Brovey algorithm and the acquisition of hyperspectral image data of mechanical equipment based on Brovey algorithm were introduced, and the characteristics of electrical automation technology and its main functions were analyzed. In the establishment of the model, the information fed back by the band data is used to collect the data, and the corresponding simulation and no-load test are done to test the operation effect. The final experiment found that the trough overshoot in the automatic control system based on the Brovey algorithm was 3.81%, and the maximum time lag in the cycle was 1.92%. Meet the requirements of electrical automation control system for overshoot attenuation and time lag.","PeriodicalId":232563,"journal":{"name":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPEC54454.2022.9777575","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 development of industrial enterprises can drive the rapid development of the country’s social economy, and industrial enterprises want to stably and quickly improve the quality and speed of production, they are inseparable from the innovation and application of science and technology. Production efficiency in industrial manufacturing is extremely important, which requires a high-performance electrical automation control system to assist industrial production. Therefore, this paper studies the electrical automation control system based on Brovey algorithm, the purpose is to design an efficient and stable electrical automation control system for industrial production. At the beginning, the related content of Brovey algorithm and the acquisition of hyperspectral image data of mechanical equipment based on Brovey algorithm were introduced, and the characteristics of electrical automation technology and its main functions were analyzed. In the establishment of the model, the information fed back by the band data is used to collect the data, and the corresponding simulation and no-load test are done to test the operation effect. The final experiment found that the trough overshoot in the automatic control system based on the Brovey algorithm was 3.81%, and the maximum time lag in the cycle was 1.92%. Meet the requirements of electrical automation control system for overshoot attenuation and time lag.
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Brovey算法的电气自动化控制系统
工业企业的发展能够带动国家社会经济的快速发展,而工业企业要想稳定快速地提高生产的质量和速度,就离不开科学技术的创新和应用。在工业制造中,生产效率是极其重要的,这就需要高性能的电气自动化控制系统来辅助工业生产。因此,本文研究基于Brovey算法的电气自动化控制系统,目的是为工业生产设计一个高效稳定的电气自动化控制系统。首先介绍了Brovey算法的相关内容以及基于Brovey算法的机械设备高光谱图像数据采集,分析了电气自动化技术的特点及其主要功能。在模型的建立中,利用波段数据反馈的信息进行数据采集,并进行相应的仿真和空载试验,检验运行效果。最终实验发现,基于Brovey算法的自动控制系统的槽超调率为3.81%,周期内最大时滞为1.92%。满足电气自动化控制系统对超调衰减和时延的要求。
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
Research on College English Teaching Evaluation System Based on Data Mining Technology GFFS: Gravitational-Force Feature Real Time Segmentation of 3D Point Cloud Research of implementation of tower cable detection and maintenance technology and system based on magnetic leakage detection and ultrasonic pickling technology The Application of Artificial Intelligence-based Fireworks Recognition Technology in Fire Detection Study on Application of Channel Propagation Model for Maritime Communication
×
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