强激光与粒子束2013，Vol.25Issue(4)：847-852,6.DOI:10.3788/HPLPB20132504.0847
单轴旋转惯导系统轴向陀螺漂移预测方法
Forecasting method for axial ring laser gyroscope drifts in single-axis rotation inertial navigation system
摘要
Abstract
The axial drift of ring laser gyroscopes (RLGs) is a major factor that impacts the performance of the single-axis rotation inertial navigation system. A square support vector machine (SVM) algorithm to forecast the axial RLG drift is proposed in the paper. Latitude and temperature variation during the identification stage are adopted as inputs of model. Employing polynomial, radial basis function (RBF) and wavelet function as the kernel functions, we construct three kinds of support vector machine (SVM), which are SVM,least square support vector machine (LSSVM) and forgetting factor least square support vector machine (FFLSSVM) and compare their capability to forecast the axial RLG drift. The navigational results show that the FFLSSVM method is an effective approach and has the best identification precision. The experimental result of navigation can meet the practical demand.关键词
环形激光陀螺/惯导系统/单轴旋转/陀螺漂移/支持向量机Key words
ring laser gyroscope/ inertial navigation system/ single-axis rotation/ gyro drift/ support vector machine分类
交通工程引用本文复制引用
于旭东,张鹏飞,谢元平,龙兴武..单轴旋转惯导系统轴向陀螺漂移预测方法[J].强激光与粒子束,2013,25(4):847-852,6.基金项目
国防预研基金重点项目 （）
