Research On Temperature Characteristic And Compensation Of Fiber-optic Gyroscope

Fiber-Optic Gyroscope(FOG) is a new type of optical inertial navigation equipment,fiber optic gyroscope involves machinery,optics,electronics and other related technologies.Compared to mechanical gyros, fiber optic gyroscope has high precision, small size, fast start,impact resistance,etc,and become a hot research topic of researchers around the world.In the land, sea,air, space inertial measurement occasions, FOG gets a lot of applications with the superior performance.Temperature is one of the main factors influencing the precision of fiber optic gyroscope,Study the characteristics of fiber optic gyro drift changes with the temperature factor and the corresponding improvement method, will help us improve the precision of fiber optic gyroscope. Engineers try many methods to suppress the temperature effect of fiber optic gyroscope, such as improve fiber material, multipolar symmetry loop winding, equipped with temperature control device, etc, cannot solve the problem perfectly, instead, increased the complexity of the gyro structure, so we need to find other methods to solve the problem.This paper studies the fiber optic gyro temperature drift error characteristic and the compensation algorithm, effectively improve the temperature drift error, and designs the relevant experimental validation. In this paper, the main work is as follows:(1) Fiber optic gyro error sources are discussed, the paper analyzes the internal temperature characteristic of major parts of fiber optic gyroscope, provides a thought for temperature error mechanism analysising and researching on main component optical fiber ring.(2) Finite element method (FEM) was used to simulate the temperature field of fiber optic gyroscope, analysised the influence of the device are analyzed in steady state and transient, draw the corresponding heat distribution, Studied the thermal mechanism of temperature drift. Under the condition of kinds of simulation, and the experiments have been carried out to verify the simulation results.(3) The correlation between temperature factors were analyzed using high order polynomial algorithm and RBF neural network algorithm to compensate the temperature error,and the corresponding mathematical model was set up.(4) Established the mathematical model of experimental verification. Designed with different temperature and different temperature change rate under the condition of fiber optic gyro experiment, analyses the experimental data, calculation of relevant parameters in the model, to evaluate the compensation effect of the algorithm.Fiber optic gyro temperature effects involes thermal and elastic mechanics, optics,electronics and other disciplines,to systematically study the causes and solutions,which is beneficial to the development of high precision inertial navigation system. Fiber optic gyro temperature error is a nonlinear problem, law is more complex, when using high order polynomial algorithm, convenient and quick, can be applied in engineering. RBF neural network algorithm is complex, and can solve the problem of nonlinear, combining both of them, can effectively compensate the temperature drift error.