Distributed layer-dividing grade temperature error compensating method of optical fiber gyroscope

Abstract

An optical fibre gyroscope distributed layered temperature error compensation method comprises the following steps: (1) five optical components of a fiber-optic ring, a light source, a Y wave guide, a detector and a coupler are taken as temperature monitoring objects for determining the number of the temperature monitoring points of each optical component and the distributing form; (2) self-adapting recurrence and least squares treatment are carried out on monitoring value of each temperature monitoring point for obtaining temperature output value of the optical fibre gyroscope; (3) a neural network model is built for obtaining temperature drift compensation value by utilizing the temperature output value and the real time outputting data of the optical fibre gyroscope; (4) the real time outputting data of the optical fibre gyroscope minus the temperature drift compensation value means temperature compensation of the optical fibre gyroscope. The method can overcome the disadvantages of the prior art and reflect the temperature field inside the optical fibre gyroscope systematically and in an all-round way, and has significance in the performance research and improvement under the condition of the temperature environment of the optical fibre gyroscope.

Description

technical field [0001] The invention relates to a temperature compensation method of an optical fiber gyroscope. Background technique [0002] Temperature has a great influence on the performance of fiber optic gyroscopes, especially high-precision fiber optic gyroscopes. The temperature change comes from the fiber optic gyroscope's own heating and environmental temperature changes. Due to the non-stationarity and time-varying nature of the fiber optic gyroscope with the change of temperature, if the technology based on parameter identification such as the usual time series is used, the accuracy of the model will be poor, and the compensation effect will not be ideal. Moreover, the temperature models of most fiber optic gyroscopes are limited to static temperature models or simplified dynamic temperature models established by local temperature monitoring, which are far from meeting the performance requirements of high-precision fiber optic gyroscopes under temperature change...

AI Technical Summary

Problems solved by technology

Due to the instability and time-varying nature of the fiber optic gyroscope with temperature changes, if the usual time series and other parameter identification-based techniques are used, the accuracy of the model will be poor and the compensation effect will not be ideal.

Moreover, the temperature models of most fiber optic gyroscopes are limited to static temperature models or simplified dynamic temperature models established by local temperature monitoring, which are far from meeting the performance requirements of high-precision fiber optic gyroscopes under temperature changes in engineering applications. Stability and Consistency

[0003] The main problems in the current temperature model of the fiber optic gyroscope are: no systematic and comprehensive analysis of the temperature field of the fiber optic gyroscope, no analysis of all optical components, and no selection principles for setting temperature monitoring points. Focusing on the fiber optic ring and ignoring other important links, the established model does not reflect the real temperature field of the fiber optic gyroscope. In system applications, the performance of the fiber optic gyroscope deteriorates as the external temperature changes

Through the collected temperature values ​​of these four sensors, the temperature compensation based on the neural network is carried out for the above four real-time temperatures. The focus of this paper is how to compensate the temperature based on the neural network, including the extraction of the weight coefficient of the neural network and the establishment of the temperature compensation model. , did not specify the principle of determining the number of sensors, and the application only considered the light source, Y waveguide and fiber ring, did not consider the temperature of the detector and coupler, and did not introduce how to process the collected temperature

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