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光纤陀螺的零位漂移和刻度因子随温度及温度梯度变化呈现复杂的非线性特征,目前被应用于工程上的常规建模方法的建模效果并不理想。提出了自适应模糊神经网络(ANFIS)的建模方法,它是一种新型的基于模糊神经网络的陀螺温度漂移建模方法,它实现了在模糊逻辑理论框架下同时对光纤陀螺零偏和刻度因子进行建模和补偿,达到了简化温度补偿步骤,提高补偿精度的效果。
The drift and scale factor of FOG show complex nonlinear characteristics with temperature and temperature gradients. The modeling results of conventional modeling methods currently applied in engineering are not ideal. An adaptive fuzzy neural network (ANFIS) modeling method is proposed, which is a new modeling method of gyroscope temperature drift based on the fuzzy neural network. It realizes the simulation of the zero bias and the scale of the fiber gyroscope under the framework of fuzzy logic theory Factor modeling and compensation, to achieve a simplified temperature compensation steps to improve the effect of compensation accuracy.