CAJ | 학술논문

在对开环干涉型光纤陀螺仪大量实验数据分析的基础上，分别对光纤陀螺仪零位温度漂移建立BP神经网络温度补偿，标度因数与温度、输入角速率建立多项式模型。利用建立的模型对实验数据进行温度补偿。补偿结果表明，BP神经网络补偿效果优于多项式模型，零偏和零偏稳定性减小了一个数量级，补偿效果明显。
재대개배간섭형광섬타라의대량실험수거분석적기출상，분별대광섬타라의령위온도표이건립BP신경망락온도보상，표도인수여온도、수입각속솔건립다항식모형。이용건립적모형대실험수거진행온도보상。보상결과표명，BP신경망락보상효과우우다항식모형，령편화령편은정성감소료일개수량급，보상효과명현。
Based on analysing lots of experimental data of open-loop interference type fibre optic gyro (FOG), we set up the BP neural network temperature compensation for zero temperature drift of FOG and the polynomial model for scale factor , temperature and input angular rate respectively .The established model is used to make temperature compensation on experimental data .The results of compensation show that, BP neural network is better than polynomial model in compensation effect , the zero-bias and the stability of zero-bias is reduced by an order of magnitude , the compensation effect is noticeable .