A range control method for satellite orbit data

By using advanced neural network algorithms and Kalman filtering algorithms, the problem of satellite orbit data error is solved, precise control and real-time adjustment of satellite orbits are achieved, and equipment costs are reduced.

CN116834977BActive Publication Date: 2025-09-26BEIJING CREATUNION INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202310714660.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-06-16
Publication Date
2025-09-26
Estimated Expiration
2043-06-16

AI Technical Summary

Technical Problem

Existing technologies cannot effectively solve the error problem of satellite orbit data, resulting in unstable satellite operation, and traditional static control methods cannot meet the needs.

Method used

Advanced neural network algorithms, especially the GPT-3.5Turbo model, are used in combination with data preprocessing, model training and cross-validation, and the Kalman filter algorithm is used to correct data errors to achieve precise control of satellite orbit data.

Benefits of technology

It improves the prediction accuracy and control efficiency of satellite orbit data, reduces the cost of measurement and control equipment, and realizes real-time control.

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Abstract

The present invention relates to the field of satellite orbit data, and specifically to a range control method for satellite orbit data. The advanced neural network algorithm described in the present invention adopts the GPT‑3.5Turbo model, which has extremely high prediction accuracy and generalization ability, and has certain advantages over existing technologies in the prediction and analysis of orbit data. By utilizing the advanced neural network algorithm, satellite measurement data can be quickly acquired and accurately processed to achieve real-time control effects. At the same time, the method can reduce the cost of measurement and control equipment and improve control efficiency.
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