{"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.