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Intelligent calibration method for fiber-optic gyroscope strapdown inertial navigation system

A strapdown inertial navigation and calibration method technology, applied in the field of inertial navigation, can solve problems such as restricting navigation accuracy, and achieve the effect of good autonomy and concealment

Inactive Publication Date: 2021-06-01
NAVAL UNIV OF ENG PLA
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Problems solved by technology

[0002] In the navigation process, the system error existing in the fiber optic gyro strapdown inertial navigation system will restrict the improvement of navigation accuracy

Method used

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  • Intelligent calibration method for fiber-optic gyroscope strapdown inertial navigation system
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  • Intelligent calibration method for fiber-optic gyroscope strapdown inertial navigation system

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Embodiment Construction

[0035] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0036] Such as figure 1 The shown optical fiber gyroscope strapdown inertial navigation system intelligent calibration method, it comprises the following steps:

[0037] Step 1: Construct an initial particle population, denoted as the gyro drifting particle population, referred to as the drifting particle population, set the number of drifting particles as N, and the maximum number of iterations M, where the jth drifting particle is composed of 3 arbitrary position elements x 1 , x 2 , x 3 A 3D vector consisting of x j1 , x j2 , x j3 Respectively represent the position coordinates of the drifting particles in the three-dimensional space on the x, y, and z axes, and the flying speed in space is v j1 , v j2 , v j3 Respectively represent the flight speed of the drifting particle in the x, y, z axes (horizontal, vertical, vertical) o...

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Abstract

The invention discloses an intelligent calibration method for a fiber-optic gyroscope strapdown inertial navigation system. The method comprises the following steps of 1, constructing an initial particle population, 2, giving any initialization assignment to each drift particle, 3, calculating an east direction speed calculation error, a north direction speed calculation error, a latitude calculation error and a longitude calculation error, 4, defining a gyroscopic drift fitness function, 5, calculating a gyroscopic drift fitness function value, 6, defining a particle speed and position updating equation, 7, judging whether the drift particle corresponding to the maximum value of the gyroscopic drift fitness function value reaches the predicted optimal position or reaches the set maximum number of iterations of the drift particle, and 8, searching the position of an individual optimal drift particle and the position of a group optimal drift particle. According to the method, a reasonable PSO algorithm model is established, and the constant drift of the gyroscope and the zero offset of the accelerometer are accurately and intelligently searched.

Description

technical field [0001] The invention relates to the technical field of inertial navigation, in particular to an intelligent calibration method for an optical fiber gyro strapdown inertial navigation system. Background technique [0002] In the navigation process, the system error in the fiber optic gyro strapdown inertial navigation system will restrict the improvement of navigation accuracy. The accuracy of the calibration parameters of the strapdown inertial navigation system will directly affect the navigation accuracy of the inertial navigation system. For medium and low-precision strapdown inertial navigation systems, the secondary nonlinear error of the accelerometer, which has little influence on navigation accuracy, can be ignored. The main calibration object for calibration. [0003] At present, common system calibration can be divided into discrete calibration method and system-level calibration method according to different observations. The discrete calibratio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C25/00
CPCG01C25/005
Inventor 覃方君车浩王智查峰李开龙李冬毅黄春福狄静波高端阳朱九鹏
Owner NAVAL UNIV OF ENG PLA
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