Fei Yu, Shiwei Fan, Ya Zhang, Pengfei Wu, Jiachong Chang
{"title":"Compensation method for temperature error of fiber optic gyroscope based on support vector machine","authors":"Fei Yu, Shiwei Fan, Ya Zhang, Pengfei Wu, Jiachong Chang","doi":"10.1109/CPGPS.2017.8075090","DOIUrl":null,"url":null,"abstract":"The error of fiber optic gyroscope (FOG) seriously affects the positioning accuracy of inertial navigation system. The temperature of the environment seriously affects the accuracy of FOG. And the temperature error mathematical model of fiber optic gyroscope is analyzed. Based on the function fitting capability of support vector machine (SVM), a new modeling and compensation method for gyroscope temperature error is proposed. Experiment results demonstrate that the proposed method can decrease 95% temperature error of FOG and promote its adaptability towards environmental temperature of FOG.","PeriodicalId":340067,"journal":{"name":"2017 Forum on Cooperative Positioning and Service (CPGPS）","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 Forum on Cooperative Positioning and Service (CPGPS）","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CPGPS.2017.8075090","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The error of fiber optic gyroscope (FOG) seriously affects the positioning accuracy of inertial navigation system. The temperature of the environment seriously affects the accuracy of FOG. And the temperature error mathematical model of fiber optic gyroscope is analyzed. Based on the function fitting capability of support vector machine (SVM), a new modeling and compensation method for gyroscope temperature error is proposed. Experiment results demonstrate that the proposed method can decrease 95% temperature error of FOG and promote its adaptability towards environmental temperature of FOG.
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