Low-orbit constellation measurement and control resource scheduling method based on improved genetic algorithm

By improving the genetic algorithm to construct a measurement and control resource scheduling model, the efficiency and cost issues of measurement and control resource scheduling in low-orbit satellite communication systems were solved, efficient scheduling under multiple constraints was achieved, and the overall benefits and feasibility of low-orbit constellation measurement and control resources were improved.

CN120688342APending Publication Date: 2025-09-23NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Patent Information

Application Number
CN202510680772.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-05-26
Publication Date
2025-09-23

AI Technical Summary

Technical Problem

In low-orbit satellite communication systems, the scheduling of TT&C resources for low-orbit constellations is difficult to achieve efficient and low-cost scheduling under various constraints. This is especially true when the relative positions of satellites and ground TT&C stations change rapidly and the visibility time is short. Therefore, how can we design an efficient TT&C resource scheduling scheme to ensure uninterrupted user communications?

Method used

An improved genetic algorithm is used to construct a measurement and control resource scheduling and allocation model by improving the binary coding method, tournament selection method and multiple constraint condition judgments. The model is built and solved in combination with the satellite simulation software STK to generate a scheduling plan that meets the conditions, reduce resource waste and improve scheduling efficiency.

Benefits of technology

It effectively handles high-dimensional, multi-constrained complex scheduling problems, significantly improves algorithm search efficiency and solution feasibility, maximizes overall benefits under complex constraints, adapts to the challenges of short visibility time and frequent resource conflicts in low-orbit constellation measurement and control, and improves the feasibility of the project.

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Abstract

The invention discloses a low-orbit constellation measurement and control resource scheduling scheme based on an improved genetic algorithm, and the scheme comprises the steps: firstly building a model through satellite simulation software STK, obtaining resource data, building a scheduling distribution model, converting measurement and control resources and measurement and control tasks into a mathematical form, and carrying out the measurement and control of the low-orbit constellation, thereby achieving the high-dimensional and multi-constraint problems of the measurement and control of the low-orbit constellation. A profit value is specified for each measurement and control task, an arc section is used as a measurement and control main body according to constraint conditions, a function expression for evaluating the advantages and disadvantages of a scheme is specified, finally, an improved genetic algorithm is applied, improved binary coding is adopted, the measurement and control arc section is used as a gene unit, a tournament selection mechanism is utilized, and data preprocessing and multiple constraint judgment correction are carried out. And solving an optimal scheme. The scheme can efficiently process complex scheduling, reduce invalid search and improve algorithm efficiency and scheme feasibility, meets actual operation requirements, and is suitable for scenes such as commercial satellite measurement and control.
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Citation Information

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