Open 100p optical fiber gyro output error compensating method based on nerve network

Abstract

The present invention relates to an open-ring fibre-optic gyro output error compensation method based on neural network. Said method includes the following four steps: (1), creating neural network model; (2), obtaining learning sample; (3), training BP neural network; and (4), compensating open-ring fibre-optic gyro output error.

Description

technical field [0001] The invention belongs to the technical field of inertia and relates to an open-loop fiber optic gyroscope, in particular to a method for compensating the output error of the open-loop fiber optic gyroscope, which is suitable for medium and low-precision low-cost navigation systems and positioning and orientation systems. Background technique [0002] The open-loop fiber optic gyro has the characteristics of small zero bias, high sensitivity, large dynamic range, fast response, good stability, and low cost. It has a good application prospect in low-cost attitude and navigation systems. Before the comprehensive performance of the miniaturized closed-loop fiber optic gyroscope such as volume, price, performance, and reliability does not meet the requirements, the open-loop fiber optic gyroscope still has great application value in the field of medium and low precision applications. At present, the open-loop fiber optic gyroscopes used in China are mostly ...

AI Technical Summary

Problems solved by technology

However, due to the nonlinearity of the open-loop FOG scale factor itself, it is easy to take the error caused by the nonlinearity of the open-loop FOG scale factor as the error caused by other factors when calculating the error coefficient, resulting in the coupling of the error coefficient and affecting the compensation. precision

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