J. Yang, Mingyong Xin, Changbao Xu, B. Tian, Xiaopeng Fan, Zhenheng Xu
{"title":"Magnetoresistance Current Inversion Algorithm Based on Single-valued Function Fitting","authors":"J. Yang, Mingyong Xin, Changbao Xu, B. Tian, Xiaopeng Fan, Zhenheng Xu","doi":"10.1109/EI256261.2022.10117104","DOIUrl":null,"url":null,"abstract":"Aiming at the requirement of high-frequency transient current measurement in power system, a magnetic hysteresis optimization algorithm based on single-valued fitting is proposed to measure current. The algorithm is based on the data measured by tunnel junction magnetoresistance (TMR) sensor. The algorithm improves the measurement accuracy of high-frequency current amplitude by optimizing conventional algorithms. Experiments show that the optimized algorithm in this paper reduces the high-frequency current inversion error from 20% of the traditional single-valued algorithm to less than 5%, which has reference value for high-frequency current measurement.","PeriodicalId":413409,"journal":{"name":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","volume":"63 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EI256261.2022.10117104","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
Aiming at the requirement of high-frequency transient current measurement in power system, a magnetic hysteresis optimization algorithm based on single-valued fitting is proposed to measure current. The algorithm is based on the data measured by tunnel junction magnetoresistance (TMR) sensor. The algorithm improves the measurement accuracy of high-frequency current amplitude by optimizing conventional algorithms. Experiments show that the optimized algorithm in this paper reduces the high-frequency current inversion error from 20% of the traditional single-valued algorithm to less than 5%, which has reference value for high-frequency current measurement.