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Method for setting random error parameter of fiber gyroscope simulated signal

A technology of fiber optic gyroscope and random error, applied in the direction of measuring devices, instruments, etc., can solve the problems of not being able to provide real gyroscope test analysis, gyroscope data analysis is not applicable, etc., to improve authenticity and reliability, good reliability and authenticity Effect

Inactive Publication Date: 2013-04-10
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0004] However, in the actual simulation process, sometimes it is not possible to provide a real gyroscope for experimental analysis; or the gyroscope simulation is aimed at a certain type of gyroscope rather than a specific gyroscope, so the analysis of a specific gyroscope data is not applicable
In this case, the gyro parameters are usually set according to experience. However, due to the lack of strict theoretical basis, the simulated gyro signal and the ideal signal may have a large deviation.

Method used

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  • Method for setting random error parameter of fiber gyroscope simulated signal
  • Method for setting random error parameter of fiber gyroscope simulated signal
  • Method for setting random error parameter of fiber gyroscope simulated signal

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Embodiment 1

[0028] This embodiment is aimed at the random error model of fiber optic gyroscope white noise and random walk, such as figure 1 As shown, the method of the present embodiment includes the following steps:

[0029] Step 1: Set the performance index of the fiber optic gyroscope, the performance index of the fiber optic gyroscope is the angle random walk N and the bias stability B(T m ), where the angle random walk reflects the high-frequency noise performance of the FOG, and the bias stability reflects the drift characteristics of the FOG. Angular random walk and bias stability performance indicators reflect the random noise characteristics of the fiber optic gyroscope, which can usually be obtained from the fiber optic gyroscope manual, where the unit of the angular random walk is It is represented by N here; the zero bias stability is taken as the standard deviation statistic of the fiber optic gyroscope signal after averaging for several seconds, and its value changes with...

Embodiment 2

[0037] This embodiment is aimed at the random error model of the fiber optic gyroscope white noise and first-order Markov process, and its specific implementation steps are similar to those of Embodiment 1. The difference is that in Step 4, this embodiment obtains the first-order Marl Cove process parameters. in m k Represents a first-order Markov process sequence, then it can be expressed as where T c is the correlation time of the first-order Markov process, in order to simulate the long-term drift characteristics of the fiber optic gyroscope, it can be set to 3600 seconds; wm k Drive a white noise sequence for it, with q m represents its standard deviation, which is set to q m = B ( T m ) 2 - ...

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Abstract

The invention discloses a method for setting a random error parameter in the signal simulation process of a fiber gyroscope. The method is used for solving and setting a random error model parameter in signal simulation by utilizing the performance index of the fiber gyroscope. In the method, the performance index of the fiber gyroscope adopts angle random walk and zero bias stability. The random error model of the simulated signal adopts two schemes comprising a white noise and random walk superposed mode and a white noise and first-order Markoff process superposed mode. The fiber gyroscope signal simulated by the method can reflect the characteristics of the fiber gyroscope with certain precision grade well, and has high reliability and authenticity. The method is used for deducing and setting the random error model parameter in the simulation by utilizing the performance index of the fiber gyroscope, so that the performance of the simulated fiber gyroscope signal is fit with the preset index. The random error model parameter obtained according to ALLAN variance analysis or ARMA modeling analysis only can reflect the random error characteristic of single fiber gyroscope, but the parameter obtained by the method can reflect the random error characteristic of fiber gyroscopes with the same kind, thus having universality.

Description

technical field [0001] The invention relates to a method for setting random error parameters in fiber optic gyroscope signal simulation. Background technique [0002] Fiber optic gyroscopes have the advantages of fast startup, long life, wide dynamic range, strong impact resistance, etc., and are widely used in aviation, aerospace, navigation and other fields. The fiber optic gyroscope is an important part of the fiber optic strapdown inertial navigation system, and its error has a great influence on the accuracy of the inertial navigation system. [0003] When carrying out theoretical research or output simulation of fiber optic strapdown inertial navigation system, it is necessary to simulate the operation mechanism of the whole system. As the main inertial device, the fiber optic gyroscope needs to simulate its output signal. The focus of fiber optic gyroscope signal simulation is the simulation of its error, which includes fixed error and random error. The fixed error...

Claims

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Application Information

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IPC IPC(8): G01C25/00
Inventor 吕品赖际舟刘建业邢丽陈昱润宋亦凡
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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