Abstract

Bias of ring-laser-gyroscope (RLG) changes with temperature in a nonlinear way. This is an important restraining factor for improving the accuracy of RLG. Considering the limitations of least-squares regression and neural network, we propose a new method of temperature compensation of RLG bias-building function regression model using least-squares support vector machine (LS-SVM). Static and dynamic temperature experiments of RLG bias are carried out to validate the effectiveness of the proposed method. Moreover, the traditional least-squares regression method is compared with the LS-SVM-based method. The results show the maximum error of RLG bias drops by almost two orders of magnitude after static temperature compensation, while bias stability of RLG improves by one order of magnitude after dynamic temperature compensation. Thus, the proposed method reduces the influence of temperature variation on the bias of the RLG effectively and improves the accuracy of the gyro scope considerably.

© 2011 Chinese Optics Letters

Temperature compensation method using readout signals of ring laser gyroscope

Geng Li, Fei Wang, Guangzong Xiao, Guo Wei, Pengfei Zhang, and Xingwu Long
Opt. Express 23(10) 13320-13332 (2015)

Temperature drift modeling and compensation of fiber optical gyroscope based on improved support vector machine and particle swarm optimization algorithms

Wei Wang and Xiyuan Chen
Appl. Opt. 55(23) 6243-6250 (2016)

Compensation method for temperature error of fiber optical gyroscope based on relevance vector machine

Guochen Wang, Qiuying Wang, Bo Zhao, and Zhenpeng Wang
Appl. Opt. 55(5) 1061-1066 (2016)

Time series modeling of the ring laser gyroscope’s bias considering the temperature delay effect

Wenfeng Tan, Wei Wu, Dongkai Dai, Xingshu Wang, Yingwei Zhao, and Shiqiao Qin
Appl. Opt. 57(16) 4551-4557 (2018)

Hysteresis and temperature drift compensation for FBG demodulation by utilizing adaptive weight least square support vector regression

Wenjuan Sheng, Haiqi Dang, and G. D. Peng
Opt. Express 29(24) 40547-40558 (2021)