Satellite accurate orbit prediction method

A technology of precise orbit and satellite, which is applied in the field of satellite precise orbit prediction, can solve the problems of large satellite precise orbit prediction error and short prediction time, and achieve the effect of simple structure, easy implementation and improved accuracy

Inactive Publication Date: 2014-06-25
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0004] In order to solve the problems existing in the prior art that there are large errors in satellite precise orbit prediction or short pred

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Embodiment Construction

[0037] The present invention will be specifically introduced below in conjunction with the accompanying drawings and specific embodiments.

[0038] Such as figure 1 As shown, the idea of ​​the accurate orbit prediction method of this satellite is to learn and fit the perturbation force error model with an unclear mathematical model with a deep neural network, and combine the existing dynamic model prediction to form a joint prediction system to improve the accuracy of orbit prediction . That is, the sum of the prediction results of the dynamic model and the compensation model results of the deep neural network is used as the precise orbit prediction result of the satellite. The compensation result obtained by the deep neural network is an adjustment to the prediction result of the dynamic model.

[0039] Therefore, the first step needs to be trained to obtain a deep neural network compensator. The process of this method is as follows: figure 2 . The satellite ephemeris is...

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Abstract

The invention relates to a satellite accurate orbit prediction method. Deep neural network automatic learning training is carried out according to comparison results of a prediction ephemeris calculated through a satellite ephemeris and kinetic models and a real ephemeris to obtain a deep neural network compensator, and then the prediction of satellite accurate obits is obtained by adding the error compensation obtained through the deep neural network compensator and prediction orbit results obtained through the kinetic models. According to the satellite accurate orbit prediction method, the kinetic prediction models and deep neural networks are two independent parts, the structure is simple, the method is easy to achieve, compared with pure kinetic models or other neural network algorithms, prediction accuracy and control over prediction errors in long-term prediction are improved.

Description

technical field [0001] The invention belongs to the technical field of aerospace orbit dynamics, and relates to a satellite precise orbit prediction method. Background technique [0002] Satellite orbit prediction is the basis of satellite application research, and it is of great significance to theoretical research and actual measurement work. The accuracy of orbit prediction, especially high-precision orbit prediction, mainly depends on the accuracy of dynamic force model. The accuracy of the dynamic model directly affects the prediction accuracy. However, the space dynamic environment is highly complex, and the nonlinearity of the satellite motion perturbation force leads to the nonlinearity of the satellite’s in-orbit motion. Coupled with the uncertainty of various parameters of the satellite itself, the simple The accuracy of the dynamic model is limited, and it is difficult to improve the prediction accuracy. [0003] In order to make up for the lack of accuracy of t...

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Application Information

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IPC IPC(8): G06N3/02
Inventor 高有涛
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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