Neural net based temperature compensating optical fibre gyroscope

Abstract

The invention discloses an FOG based on neural network to do temperature compensation, using the neural network learning algorithm for the temperature drift compensation method, and the temperature compensation method obtains the amendment temperature compensation coefficient to provide parameters for FOG high precision output. According to the effect of the temperature to the FOG output when the FOG working, it respectively installs a temperature sensor A on the light source, a temperature sensor B at the Y waveguide, a temperature sensor C at the fiber ring inside and a temperature sensor D at the fiber ring outside, and through temperature change of the four temperature sensors, and using the neural network learning algorithm for temperature compensation model training, it makes the built temperature drift compensation having good nonlinear mapping ability, self-learning ability and the generalization ability; the temperature drift compensation coefficient measurement is measured in the debugging phase, reducing the gyro computing volume when using.

Description

technical field [0001] The invention relates to a method for compensating the temperature drift of the output precision of an interference fiber optic gyroscope, more particularly, to a fiber optic gyroscope for temperature drift compensation based on a neural network. Background technique [0002] The interferometric fiber optic gyroscope is an instrument for measuring angular velocity. Its hardware consists of a light source 1, a coupler 2, a Y waveguide 3, an optical fiber ring 4, a detector 5 and a signal processing device 6 (see Figure 1). Described signal processing device 6 comprises the detection circuit 61, A / D converter 62, central processing unit 63, D / A converter 64 and amplification conditioning circuit 65 that are used to detect the optical power signal that detector 5 outputs to form (please See Figure 2). The measurement of the angular velocity of the interference fiber optic gyroscope is characterized by the size of the non-reciprocal phase difference cause...

AI Technical Summary

Problems solved by technology

Due to Shupe noise, the temperature gradient will cause thermally induced non-reciprocal noise and temperature phase fluctuation noise in the fiber ring

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