Satellite measurement and control task scheduling method, device and equipment based on hierarchical optimization

Abstract

The invention relates to a satellite measurement and control task scheduling method, device and equipment based on hierarchical optimization, and the method comprises the steps: building a medium and high orbit satellite resource demand object set, an equipment capability object set and a satellite-to-equipment visible forecast set of a unified model based on a resource use application; performing preprocessing and decoupling association constraint on the demand object set to generate a new demand object set of each scheduling hierarchy; according to the new demand object set, the equipment capability object set and the visible forecast set, designed sub-scheduling layers are sequentially and serially called to carry out resource hierarchical scheduling, and a hierarchical scheduling initial solution set is generated; calling a designed optimal scheduling layer, and performing association constraint reconstruction and optimal scheduling processing on the hierarchical scheduling initial solution set according to the demand object set to generate a hierarchical scheduling optimal solution set; the hierarchical scheduling optimal solution set is used for indicating a medium and high orbit satellite resource scheduling result corresponding to the resource use application. And the scheduling efficiency of medium and high orbit satellite routine measurement and control tasks is greatly improved.

Description

technical field [0001] The present application relates to the technical field of space measurement and control network resource scheduling, in particular to a method, device and equipment for scheduling satellite measurement and control tasks based on hierarchical optimization. Background technique [0002] With the rapid increase in the number of satellites with various functions and different orbits, the number of ground equipment that provides measurement and control support for satellites cannot grow synchronously. Therefore, how to achieve more efficient resource scheduling in the case of limited resources is a key issue that needs to be studied, but the previous research on resource scheduling is basically aimed at low-orbit satellites. Algorithms discussed in the paper, such as genetic algorithm, heuristic global search algorithm, etc., are not satisfactory in scheduling efficiency and scheduling results when used for resource scheduling of medium and high orbit satel...

AI Technical Summary

Problems solved by technology

[0003] The basic conditions involved in the resource scheduling model are obviously different due to the different orbit types of medium-high orbit satellites and low-orbit satellites. For example, they include: satellite visibility time window is long (usually visible within hours or even 24 hours), and multiple ground devices are visible at the same time ( Especially in the case of domestic station deployment), multiple task types need to be scheduled separately (low-orbit satellites are usually dispatched with integrated telemetry, remote control and orbit measurement, while medium and high-orbit satellites are usually dispatched separately, especially telemetry takes a long time. Long), multiple measurement and control requirements require integrated scheduling due to the existence of associated constraints, these lead to too much freedom to choose the optimal feasible solution for the scheduling object of medium and high orbit satellites, and it becomes very difficult to use the existing scheduling method to find the optimal solution

In the process of realizing the present invention, the inventor found that with the large increase of medium and high orbit satellites such as satellite navigation and communication, it is necessary to study a large-scale resource scheduling method suitable for medium and high orbit satellites. At present, the traditional satellite resource scheduling method still has medium and high orbit. The technical problem of low efficiency of satellite routine measurement and control task scheduling

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