基于多参量模型的光纤陀螺温度误差补偿

温度漂移误差是制约光纤陀螺精度的重要因素之一。针对传统光纤陀螺温度补偿方法仅对温度项建模导致补偿精度差的问题,提出了一种新型多参量模型来补偿光纤陀螺温度误差的方法。通过对陀螺零漂误差和温度各相关项进行相关性分析,将温度和温度速率的乘积项及温度梯度滞后项引入到温度漂移误差模型中,建立了多参量分段补偿模型对零偏进行补偿,显著改善了光纤陀螺的零偏稳定性。使用实测光纤陀螺数据对提出的补偿方法进行实验验证,结果表明采用该方法补偿后,零偏误差平方和降低2个数量级,陀螺漂移均值、方差稳定在零点附近,补偿效果优于温度项分段拟合方法,与非线性模型预测效果相当。

Temperature Error Compensation of Fiber Optic Gyroscope Based on Multi-parameter Model

The temperature drift error is one of the important factors restricting the accuracy of FOG. Aiming at the problem that the traditional FOG temperature compensation models had low accuracy for only modeling about temperature term, a new multi-parameter model is proposed to compensate the temperature error. By analyzing the correlation of gyro bias error and temperature related items, the product term of temperature and temperature rate, temperature gradient hysteresis are introduced into the temperature drift model. A multi-parameter piecewise compensation model is established to compensate the bias, and the bias stability of FOG is improved remarkab-ly. Experimental verification of the proposed compensation method using the actual measured FOG data, the results show that the sum of the squares of the FOG bias error is reduced by two orders of magnitude, and the mean and variance of the gyro drift is stable near the zero point, the compensation effect is better than that of the only temperature term piecewise compensation method. It is comparable to the predictive effect of nonlinear models.