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A moving target single-satellite task planning method based on a constraint satisfaction genetic algorithm

A technology of moving target and genetic algorithm, applied in the field of single-satellite mission planning for moving target

Active Publication Date: 2019-06-25
BEIHANG UNIV
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AI Technical Summary

Problems solved by technology

[0004] The problem solved by the technology of the present invention is to overcome the deficiencies of the prior art, and provide a satellite task planning method with simple structure, convenient execution, flexible constraints and requirements, and excellent efficiency for the processing of moving targets and constraints and conflicting tasks. Single Agile Satellite Mission Planning Problem for Moving Targets

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  • A moving target single-satellite task planning method based on a constraint satisfaction genetic algorithm
  • A moving target single-satellite task planning method based on a constraint satisfaction genetic algorithm
  • A moving target single-satellite task planning method based on a constraint satisfaction genetic algorithm

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Embodiment Construction

[0062] The steps of an agile satellite single-satellite task planning method based on a moving target according to the present invention are as follows: firstly, calculate the visible time window according to the model characteristics and constraints of the satellite and the observed target, and form an initial task sequence; secondly, construct the objective function and In the genetic algorithm model, the conflict elimination operator is introduced to calculate the conflict sequence; again, the task sequence is optimized and solved to obtain a conflict-free task sequence that meets the constraints; finally, the satellite task observation plan is calculated and the satellite maneuver angle is calculated. The invention can improve the efficiency of satellite earth observation, rationally utilize limited satellite resources, and complete the task of capturing and observing moving targets.

[0063] The first step is to calculate the visible time window according to the model char...

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Abstract

The invention discloses a moving target single-satellite task planning method based on a constraint satisfaction genetic algorithm, which comprises the following steps of: firstly, calculating a visible time window according to model characteristics and constraints of a satellite and an observed target to form an initial task sequence; Secondly, constructing an objective function and a genetic algorithm model, and introducing a conflict elimination operator to calculate a conflict sequence; Thirdly, optimizing and solving the task sequence to obtain a conflict-free task sequence meeting the constraint; And finally, calculating a satellite task observation scheme and a satellite maneuvering angle. According to the method, the satellite earth observation efficiency can be improved, limited satellite resources are reasonably utilized, and the capture observation task of the moving target is completed.

Description

technical field [0001] The invention belongs to the field of satellite applications, in particular to a single-satellite task planning method for a moving target based on a constraint-satisfying genetic algorithm. Background technique [0002] Using satellites to observe the ground in space is an important means of obtaining ground information at present. With the development of science and technology and related technologies in the field of aerospace, due to the advantages of satellite earth observation in a wide range of distribution, strong timeliness, and not limited by regions and national boundaries, all walks of life, such as military and economic fields, have become more important to aerospace technology. demand is increasing. The use of various satellites, remote sensors, relay satellites, ground receiving stations and other related facilities has provided great convenience for satellite earth observation tasks. At the same time, the complexity of ground targets ha...

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Application Information

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IPC IPC(8): G06F17/50G06N3/00G06N3/12
Inventor 胡庆雷温新董宏洋郭雷
Owner BEIHANG UNIV
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