Agile satellite task planning and scheduling modeling method based on genetic optimization

Abstract

The invention provides an agile satellite task planning and scheduling modeling method based on genetic optimization, which comprises the following steps of: dynamically decomposing a to-be-observed complex observation target task area according to an observation demand of a user and a resource condition of a satellite, and generating a meta-task set with a plurality of time windows; constructinga constraint analysis model according to the task constraint, the resource constraint and the relationship between the task constraint and the resource constraint, wherein the constraint analysis model comprises a satellite energy constraint model, a storage constraint model, a minimum pitch angle constraint model and an attitude maneuver stability constraint model; establishing a single-satellitetask planning mathematical model according to the multi-time window element task set; and utilizing a genetic search algorithm to optimize and solve the single-satellite task planning mathematical model, judging whether the established constraint analysis model is met or not, and generating a final executable observation plan scheme. According to the method, the task observation plan scheme meeting the maximum objective function and different constraint analysis can be generated, satellite resources are effectively utilized, and the task planning efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of satellite detection, and relates to an agile satellite task planning and scheduling modeling method based on genetic optimization. Background technique [0002] In the planning of non-agile satellite imaging missions, only the side-view imaging capability of satellites is considered, and scholars at home and abroad have made very in-depth research on this. A related model including point target, regional target, moving target, off-orbit stereo imaging and multi-satellite planning is established, and the mission synthesis observation among non-agile satellite earth observation point targets is preliminarily realized. At the same time, different algorithms are established for different models, the advantages and disadvantages of the corresponding algorithms are analyzed, and new compound algorithms are compared and developed, with many achievements. [0003] Agile satellites are not only widely used in civ...

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Problems solved by technology

[0005] The problem to be solved by the invention is that, for the technical deficiencies such as low resource efficiency and poor timeliness in agile satellite mission planning, the present invention proposes a genetic optimization-based agile satellite mission planning and scheduling modeling method, and provides an optimized observation plan , this method can optimize the comprehensive constraint analysis model and mission planning algorithm according to the characteristics of a single agile satellite and mission requirements, effectively utilize satellite resources, improve the efficiency of mission planning, and meet user observation requirements

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