干涉式光纤陀螺仪温漂误差补偿系统的设计

Design of compensation system for temperature drift errors of interferometric fiber optical gyroscopes

针对干涉式光纤陀螺仪温漂误差补偿准确性不高的问题,设计了基于RBF神经网络的改进型温漂误差补偿系统。根据对热致非互易相位延迟的深入分析,对不同条件下的热致非互异性相位延迟进行了定性的分析和定量的仿真;建立了基于温度、温度变化量和温度相乘量的温漂误差模型;设计了基于升降温实验的温漂误差补偿模型辨识方法,并采用RBF神经网络精确辨识该温漂误差模型参数;基于TMS320F28335、高精度温度测量单元、解编码电路和辅助电路设计,完成了温漂误差补偿系统设计;提出了用于评估温漂误差补偿系统的均方差评估公式。论文给出了温漂误差补偿系统的设计方法和实现步骤。温补实验对比结果表明,该温漂误差补偿系统的补偿精度高、可靠性好,能够将光纤陀螺仪输出精度提高一个数量级,可广泛用于干涉式光纤陀螺仪的温漂误差补偿。

In order to solve the problem that temperature drift errors （TDE） of interferometric fiber optical gyroscopes （IFOG） can not be compensated exactly, a modified compensation system for TDE of IFOG is designed with radial basis function artificial neural network （RBF-ANN）. According to the detailed analysis of the thermal induced nonreciprocity phase delay, a TDE model is built based on the temperature, temperature varia- tion and temperature product terms the RBF-ANN is trained to identify the parameters of the TDE model precisely; the compensation system is realized based on a microcontroller TMS320F28335, a high-precision temperature measurement unit, a decode-encode unit and an auxiliary unit. The methods to design the compensation system and the realization steps are shown in this article. The comparable results of temperature experiments show that the compensation system is high-accurate and well-reliable, and the actual output precision of IFOG can be raised to a high order of magnitude. The modified compensation system for TDE of IFOG can be used in compensation for TDE of IFOG.