光纤陀螺温度漂移的多变量模型

针对光纤陀螺温度漂移的补偿问题,本文提出一种线性多变量光纤陀螺温度漂移建模方法.建立的模型由两部分组成:陀螺输出的自回归项和温度梯度的多项式分布滞后项(PDL).自回归项描述光纤陀螺历史输出对当前输出的影响,PDL项描述由温度变化引起的陀螺漂移.根据模型的线性特性,采用最小二乘法确定模型参数.用实测的光纤陀螺温度漂移数据进行了模型的有效性验证.实验结果表明,提出的线性多变量模型能有效补偿光纤陀螺的温度漂移,补偿后光纤陀螺的精度提高50%以上.

Multi-variable Modeling Strategy for the Fiber Optic Gyro Temperature-dependent Drift

To compensate the temperature drift in a Fiber Optic Gyro (FOG),a linear multi-variable model was proposed. The model was composed of the autoregression part and the polynomial distributed lag (PDL) part. The former represented the effect on FOG’s current output by its own lags,while the latter described FOG’s drift caused by temperature variation. Due to the linear character of the model,its coefficients were obtained by using least-square estimation method. In the testing,two FOGs' field temperature drift data sets were collected to validate the effectiveness of the proposed model. The results show that the linear multi-variable model is effective,and the FOGs’ accuracy may be improved by more than 50% after compensation.