光纤陀螺温度漂移的多尺度建模研究

针对光纤陀螺温度漂移的非线性特点,该文提出了一种依据温度漂移的时间尺度特点进行自适应建模的方法。首先利用经验模态分解把温度漂移数据分解为高频震荡序列和单调趋势项,依据其时间尺度特点分别使用曲面拟合回归和自适应模糊推理联合建模后进行信号合成。通过与单一使用曲面拟合回归或自适应模糊推理建模进行比较,该文方法的试验结果优势明显,补偿效果显著。

Research on Multi scale Modeling of Temperature Drift in FOGs

Aiming at the nonlinear characteristics of temperature drift in fiber optic gyroscopes (FOGs), an adaptive modeling method based on the time scale characteristics of temperature drift experimental data is proposed in this paper. Firstly, the empirical mode decomposition (EMD) to decompose the temperature drift data into high frequency oscillation sequence and monotonic trend term, and according to its time scale characteristics, the surface fitting regression and adaptive fuzzy reasoning are used for the joint modeling, and then the signal synthesis is carried out. Compared with the single used surface fitting regression or adaptive fuzzy reasoning modeling, the experimental results of the proposed method have obvious advantages and significant compensation effect. The results of the verification test further confirm the effectiveness of the proposed method in dealing with similar problems.