Temperature Compensation for FOG Based on RBF Neural Networks
XU Hai-gang · Piezoelectrics and Acoustooptics · 2010
In the view of serious temperature excursion of the fiber optic gyroscope(FOG) in a strapdown inertial navigation system,a temperature compensation model is established by using RBF neural network.The input layout and output layout of the neural network have one node separately,the middle layout has four nodes,and the aggregation center points of the nodes in the middle layout are scattered evenly among the changing area of the temperature.It is proved by the experiment that this method could reduce the gyro′s temperature excursion at least 1 order of magnitude in comparison with the traditional method.The effect of compensation is distinct.