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An Accelerometer Uncertainty Analysis Method Based on Arbitrary Chaotic Polynomials

A chaotic polynomial and accelerometer technology, applied in the field of inertial navigation, can solve problems such as large dispersion, achieve uncertainty optimization, improve pass rate, and have a wide range of applications

Active Publication Date: 2021-01-08
XIAN FLIGHT SELF CONTROL INST OF AVIC +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the actual assembly process of the accelerometer, there are multi-source uncertain factors such as inconsistent adhesive bonding area and the number of air bubbles in the adhesive, resulting in a relatively large dispersion of the accelerometer bias output. Follow-on applications such as inertial guidance pose challenges

Method used

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  • An Accelerometer Uncertainty Analysis Method Based on Arbitrary Chaotic Polynomials
  • An Accelerometer Uncertainty Analysis Method Based on Arbitrary Chaotic Polynomials
  • An Accelerometer Uncertainty Analysis Method Based on Arbitrary Chaotic Polynomials

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Embodiment Construction

[0071] figure 1 The flowchart of the method for analyzing the uncertainty of the accelerometer based on arbitrary chaotic polynomials according to the present invention is shown.

[0072] Such as figure 1 As shown, a kind of accelerometer uncertainty analysis method based on arbitrary chaotic polynomial provided by the present invention comprises the following steps:

[0073] Step 1. Analysis figure 2 Uncertainty factors in the assembly process of the shown accelerometer;

[0074] Combined with the actual assembly process and the experience of engineers, analyze and obtain the uncertain factors in the accelerometer assembly process, such as image 3 As shown, they are: the equivalent modulus of the adhesive, the bonding angle between the aluminum material and the copper material, the bonding angle between the aluminum material and the silicon material, the bonding angle between the tungsten material and the copper material, the bonding angle between the tungsten material a...

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Abstract

The invention belongs to the technical field of inertial navigation, and discloses an accelerometer uncertainty analysis method based on arbitrary chaotic polynomials. The invention includes analyzing the uncertainty factors existing in the assembly process of the accelerometer; establishing the uncertainty analysis model of the accelerometer; according to the existing experimental data and engineering experience, statistical analysis to obtain the statistical moment information of the uncertainty parameters, based on arbitrary chaos The mean value, variance, kurtosis and skewness of accelerometer bias output are obtained by polynomial method; the probability distribution of accelerometer bias output is fitted by the principle of maximum entropy. The invention quantitatively evaluates the influence of uncertainty factors in the accelerometer assembly process on its bias output, provides theoretical guidance for subsequent optimization of the accelerometer assembly process and structure, and improves the pass rate of the accelerometer.

Description

technical field [0001] The invention relates to the technical field of inertial navigation, in particular to an accelerometer uncertainty analysis method based on arbitrary chaotic polynomials. Background technique [0002] Inertial navigation is a precision navigation technology with strong autonomy, high precision, safety and reliability. It has been widely used in many important fields such as aviation, aerospace, navigation, and high-speed rail. [0003] As the core component of inertial navigation and guidance systems, accelerometers are used to measure the linear motion of sensitive carriers in space in real time, so as to provide position and speed information for carrier navigation and guidance. Accelerometer performance is the most direct and important factor to determine the accuracy of inertial navigation and guidance systems. Therefore, modern high-precision inertial navigation and guidance systems have higher requirements for accelerometer performance (bias valu...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20
CPCG06F30/20
Inventor 滕霖姜潮陈亮姚中洋叶坤
Owner XIAN FLIGHT SELF CONTROL INST OF AVIC
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