{"title":"A Compensation Method for FOG Temperature Drift Error Based on Double-section Polynomial Fitting","authors":"Yang Li, Ke Chen, Liu-wei Mao","doi":"10.1145/3386164.3386179","DOIUrl":null,"url":null,"abstract":"The problem of large modeling error exists in the modeling and compensation of Fiber Optic Gyroscope (FOG) temperature drift by traditional polynomial fitting. In the case, a compensation method for FOG temperature drift error based on double-section polynomial fitting is studied, which can build the model of the FOG temperature drift error in both the startup section and the balanced section. Experimental results show that the new method can improve both the accuracy of modeling and the effect of compensation effectively.","PeriodicalId":231209,"journal":{"name":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 3rd International Symposium on Computer Science and Intelligent Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3386164.3386179","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 problem of large modeling error exists in the modeling and compensation of Fiber Optic Gyroscope (FOG) temperature drift by traditional polynomial fitting. In the case, a compensation method for FOG temperature drift error based on double-section polynomial fitting is studied, which can build the model of the FOG temperature drift error in both the startup section and the balanced section. Experimental results show that the new method can improve both the accuracy of modeling and the effect of compensation effectively.