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基于BP网络的光纤陀螺刻度因子建模研究
引用本文:熊伟,李岁劳,丁文娟,谢荣荣.基于BP网络的光纤陀螺刻度因子建模研究[J].航空计测技术,2006,26(2):19-20,31.
作者姓名:熊伟  李岁劳  丁文娟  谢荣荣
作者单位:西北工业大学自动化学院,陕西西安710072
摘    要:针对光纤陀螺(FOG)随温度呈非线性变化的特性,提出了采用BP神经网络对刻度因子的温度误差建模的方法,以减小光纤陀螺输出误差;用BP网络对其建模的结果和传统的建模结果进行了比较,结果表明采用BP神经网络对刻度因子的建模是非常有效的.

关 键 词:光纤陀螺  刻度因子  BP网络  建模
文章编号:1002-6061(2006)02-0019-02
收稿时间:2005-06-27
修稿时间:2005-06-272005-07-30

Modeling Research on FOG Scale Factor Based on BP Network
XIONG Wei,LI Sui-lao,DING Wen-juan,XIE Rong-rong.Modeling Research on FOG Scale Factor Based on BP Network[J].Aviation Metrology & Measurement Technology,2006,26(2):19-20,31.
Authors:XIONG Wei  LI Sui-lao  DING Wen-juan  XIE Rong-rong
Abstract:Pointing to the non-linearity of the FOG with the change of temperature, a method of modeling for the temperature error of scale factor with BP neural network is proposed, and it can reduce the output error of fiber optic gyroscope. Meanwhile the modeling results of BP neural network for scale factor are compared with the traditional modeling results, it demonstrates that modeling for scale factor with BP neural network is very effective.
Keywords:fiber optical gyro  scale factor  BP network  modeling
本文献已被 CNKI 维普 万方数据 等数据库收录!
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