Fiber-optic gyroscope temperature drift error compensation method

Abstract

The invention relates to a fiber-optic gyroscope temperature drift error compensation method and belongs to the technical field of precision instruments. The effect of temperature, temperature variation rate and temperature field gradient on fiber-optic gyroscope temperature drift is fully considered, temperature piecewise linear fitting is performed on temperature coefficient, temperature variation rate coefficient and temperature gradient coefficient, and precision of a model is remarkably improved on the premise of not adding the number of orders of the system model. The number of temperature piecewise points is optimally selected by adopting a genetic algorithm, the piecewise points are selected as few as possible on the basis of giving consideration to the precision of the model, andgeneralization of the model can be improved; the number of the orders is smaller than or equal to 2-order, simpleness in parameter calculation procedure is achieved, training time like neural networksis not needed, order determination of the polynomial model is not needed, and difficulty in modeling is remarkably reduced; meanwhile, the calculated amount in real-time compensation and storage costare greatly reduced.

Description

technical field [0001] The invention relates to the technical field of precision instruments and meters, in particular to a method for compensating an optical fiber gyroscope temperature drift error. Background technique [0002] Optical fiber gyro is an angular rate measuring instrument based on the Sagnac effect. Because of its simple structure, impact resistance, and large dynamic range, it is widely used in aerospace, robot control, oil drilling and other fields. However, the performance of fiber optic gyroscopes is easily affected by temperature. How to reduce the temperature effect is a difficult problem that must be overcome in the engineering process of fiber optic gyroscopes. [0003] At present, the measures to improve the temperature performance of the fiber optic gyroscope from the mechanism include: improving the fiber optic wrapping technology, improving the glue fixing process, improving the characteristics of the glue, optimizing the thermal design of the str...

AI Technical Summary

Problems solved by technology

The linear or polynomial model has a low order and is easy to underfit, and a high order is easy to overfit

Nonlinear modeling methods such as neural networks can obtain good accuracy, but the algorithm is complex, which is not conducive to online real-time compensation

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