Abstract

Modeling and compensation of temperature drift is an important method for improving the precision of fiber-optic gyroscopes (FOGs). In this paper, a new method of modeling and compensation for FOGs based on improved particle swarm optimization (PSO) and support vector machine (SVM) algorithms is proposed. The convergence speed and reliability of PSO are improved by introducing a dynamic inertia factor. The regression accuracy of SVM is improved by introducing a combined kernel function with four parameters and piecewise regression with fixed steps. The steps are as follows. First, the parameters of the combined kernel functions are optimized by the improved PSO algorithm. Second, the proposed kernel function of SVM is used to carry out piecewise regression, and the regression model is also obtained. Third, the temperature drift is compensated for by the regression data. The regression accuracy of the proposed method (in the case of mean square percentage error indicators) increased by 83.81% compared to the traditional SVM.

© 2016 Optical Society of America

Temperature drift compensation of a FOG based on an HKSVM optimized by an improved hybrid BAS-GSA algorithm

Jianguo Liu and Xiyuan Chen
Appl. Opt. 60(34) 10539-10547 (2021)

Underwater gas pipeline leakage source localization by distributed fiber-optic sensing based on particle swarm optimization tuning of the support vector machine

Yue Huang, Qiang Wang, Lilian Shi, and Qihua Yang
Appl. Opt. 55(2) 242-247 (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)

Multiscale modeling of fiber optic gyroscope temperature drift based on improved ensemble empirical mode decomposition

Wei Wang and Xiyuan Chen
Appl. Opt. 57(28) 8443-8450 (2018)

Application of a genetic algorithm Elman network in temperature drift modeling for a fiber-optic gyroscope

Xiyuan Chen, Rui Song, Chong Shen, and Hong Zhang
Appl. Opt. 53(26) 6043-6050 (2014)