国防科技大学学报2012，Vol.34Issue(3)：48-52,5.
RBF神经网络在单轴旋转惯导系统轴向陀螺漂移辨识中的应用
Application of Radial Basis Function Network for Identification of Axial RLG Drifts in Single-axis Rotation Inertial Navigation System
于旭东 1魏学通 2李莹 2龙兴武1
作者信息
- 1. 国防科技大学光电科学与工程学院,湖南长沙410073
- 2. 中国人民解放军92941部队95分队,辽宁葫芦岛125000
- 折叠
摘要
Abstract
In the single-axis rotation inertial navigation system with ring laser gyroscope ( RLG), the single-axis rotation can compensate the vertical errors of the inertial apparatus automatically, but cannot compensate the axial vertical errors, so the precision of the system is determined by the drift of the axial RLG. A novel identification method based on radial basis function network is proposed for the axial RLG drift. The inputs of the network are the latitude error and change of the temperature, and the network is trained for steady and non-steady state, in which the identification capability is less than 0. 0003°/h. The experiments show that this method can estimate the axial RLG drift efficaciously, and the result of the navigation is excellent and can meet the practical demand.关键词
激光陀螺/惯导系统/单轴旋转/陀螺漂移/RBF神经网络Key words
ring laser gyroscope/ inertial navigation system/ single-axis rotation/ gyro drift/ RBF neural networks分类
交通工程引用本文复制引用
于旭东,魏学通,李莹,龙兴武..RBF神经网络在单轴旋转惯导系统轴向陀螺漂移辨识中的应用[J].国防科技大学学报,2012,34(3):48-52,5.
