Fiber-optic gyroscope temperature drift compensation device and method based on multi-element temperature field

Abstract

The invention provides a fiber-optic gyroscope temperature drift compensation device and method based on a multi-element temperature field. The fiber-optic gyroscope temperature drift compensation device comprises a thermal imager used for analyzing actual distribution of a fiber-optic gyroscope temperature field; a temperature sensor used for measuring the temperature of the optical fiber ring or the shell; a multichannel AD temperature acquisition board used for converting an analog signal into a digital signal and packaging and outputting the digital signal; and a compensation computer used for drift decomposition and multivariate temperature information calculation, and training, predicting and compensating a temperature drift model. The fiber-optic gyroscope temperature drift compensation method comprises the following steps: determining the number and attachment positions of temperature sensors according to temperature field distribution; obtaining gyroscopic drift, and extracting temperature drift by using variational mode decomposition (VMD); calculating multi-element temperature information including the temperature of the measuring points, the temperature change rate of the measuring points and the temperature gradient between the measuring points; and training a fiber-optic gyroscope temperature drift model based on the multi-element temperature information and SVM / SVR, and performing prediction and compensation output.

Description

technical field [0001] The invention belongs to the field of fiber optic gyroscopes, and relates to signal acquisition and digital processing methods, in particular to a temperature drift compensation device and method for fiber optic gyroscopes based on multiple temperature fields. Background technique [0002] Fiber optic gyroscope is a fiber optic ring inertial sensor based on the Sagnac effect. It has the characteristics of low cost, high reliability, wide dynamic range, and large development space. It is widely used in tactical weapons, aircraft, ships, and consumer markets. However, since the fiber optic gyroscope often works in harsh environments, the fiber optic loop is susceptible to non-reciprocity errors caused by the influence of the ambient temperature, resulting in gyro drift that is strongly related to temperature. [0003] Existing fiber optic gyroscope temperature drift and compensation methods include least quadratic fitting (LSF), a variety of neural netwo...

AI Technical Summary

Problems solved by technology

The LSF model is simple and easy to implement in engineering, but the nonlinear regression ability is weak; the neural network modeling nonlinear approximation ability is strong, but the environmental adaptability is poor, and "over-fitting" phenomenon will occur; the SVM / SVR nonlinear approximation is strong, and it can Overcome the "overfitting" phenomenon and have good generalization ability, but are susceptible to non-temperature noise in the sample data

Images