Modeling and Compensation Method for Temperature Error of FOG based on the SVM

DOI

10.2991/lemcs-15.2015.192How to use a DOI?

Keywords

Component; Fiber Optical Gyroscope (FOG); Temperature Error; Support Vector Machine (SVM); Bias Stability; Error Compensation

Abstract

The performance of the Fiber Optical Gyroscope (FOG) is susceptible to the external environment temperature, and the temperature effect of the FOG has nonlinear characteristics. Therefore, it is necessary to develop an outstanding temperature compensation method with high precision and good versatility. In this paper, the severe influence of environmental temperature on the FOG’s accuracy was analyzed in detailed. Then the temperature error model of the FOG was established. Based on the function fitting capability of the Support Vector Machine (SVM), a new modeling and compensation method of the gyroscope’s temperature error was proposed. To verify the advantages of this novel method, we compared it with other two compensation methods, which are based on the classical statistical estimation parameters (polynomial regression) and the neural network, respectively. Experiment results showed that the proposed method can decrease the temperature error of the FOG by 75% and improve the adaptability of the environmental temperature. With this novel method, the gyro bias stability can meet the practical need of the temperature compensation which requires high-precision FOG.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Guochen Wang
AU  - Wei Gao
AU  - Bo Zhao
AU  - Runfeng Zhang
PY  - 2015/07
DA  - 2015/07
TI  - Modeling and Compensation Method for Temperature Error of FOG based on the SVM
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 972
EP  - 977
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.192
DO  - 10.2991/lemcs-15.2015.192
ID  - Wang2015/07
ER  -