A Modeling Method for Gyroscope Temperature Drift

A technology of temperature drift and modeling method, which is applied in character and pattern recognition, instrument, calculation, etc., can solve the problems of non-guarantee, step size, etc., and achieve the effect of satisfying high precision

Active Publication Date: 2019-11-12
SOUTHEAST UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the traditional grid search method is aimed at discrete C and g, and for the sake of calculation efficiency, the step size is often selected larger, which cannot guarantee the global optimal

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Modeling Method for Gyroscope Temperature Drift
  • A Modeling Method for Gyroscope Temperature Drift
  • A Modeling Method for Gyroscope Temperature Drift

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] Such as figure 1 As shown, this embodiment includes the following steps:

[0041] (1) Use EEMD method to decompose the gyro temperature drift signal f to obtain N decomposition components: IMF 1 ~IMF N .

[0042] (2) Calculate the relative entropy value of each decomposed component, and separate the noise signal from the gyro temperature drift signal according to the relative entropy value.

[0043] This step specifically includes: (21) calculating the decomposition component IMF 2 ~IMF N and IMF pre-all , IMF pre-allRefer to formula 1; (22) calculate the relative entropy value of each decomposition component; where, the i-th decomposition component IMF i The relative entropy value H i The formula refers to formula 2; (23) Draw the relative entropy value curve according to the relative entropy value of each decomposition component, and find out the decomposition component IMF corresponding to the transformation inflection point of the curve k ; Among them, the ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a gyro temperature drift modeling method. In the method, EEMD and relative entropy are used as the separation method of the signal and noise of the gyro temperature drift signal, and then the mean square error threshold value of SVM fitting is set, and three times The uniform B-spline and grid search methods conduct a fine search for the parameters C and g of the SVM, and stop parameter optimization when the search value is less than the threshold value, and finally substitute the parameters obtained from the optimization into the SVM formula to obtain the mathematical construction of the gyro temperature drift mold. The invention can realize the temperature drift modeling of the gyroscope and meet the requirements of high precision and miniaturization of the gyroscope.

Description

technical field [0001] The invention relates to a digital signal processing method, in particular to a gyroscope temperature drift modeling method. Background technique [0002] Fiber optic gyroscopes often work in complex environments, and the complex ambient temperature will cause the gyroscope to produce non-reciprocal phase shift, which will lead to the drift of the gyroscope output. For the gyro drift caused by temperature, there are currently two methods to correct it, one is to use physical methods to reduce the impact, and the other is to use algorithms to compensate for drift. Compared with the physical method, the compensation method does not bring about an increase in cost and volume. With the improvement of the algorithm, the drift compensation method is more and more able to meet the requirements of high precision and miniaturization of the gyroscope. [0003] Ensemble Empirical Mode Decomposition (EEMD) is a noise-assisted data analysis method that can perfor...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06F2218/12
Inventor 陈熙源王威
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products