光纤陀螺温度建模及补偿技术研究

Research on Modeling and Compensation Technology for Temperature Errors of FOG

研究了干涉式光纤陀螺的温度补偿问题。首先分析了光纤陀螺仪温度漂移的主要影响因素，并应用人工神经网络与数理统计方法建立了陀螺仪的温度补偿模型。最后对某型号陀螺进行了0～50℃环境温度下的大量恒温及变温实验，通过实验数据完善所建模型并完成了对该陀螺的温度补偿。实验结果表明：在特定温度环境下，该方法能够有效地改善光纤陀螺仪零偏稳定性。

In this paper,the issue of temperature compensation for fiber optic gyroscope （FOG） is studied. The main factors causing the temperature bias changing of FOG was analyzed. Based on the artificial neutral net （ANN） and statistics, a temperature compensation modeling for FOG was established. It was trained by data from many temperature experiments on one kind of FOG, included experiments at the constant temperature and dynamic temperature of 0 - 50℃ . Finally, the designed modeling was used to compensate the bias of FOG. The experimental results show that this method can enhance bias stability of FOG effectively.