Multi-satellite continuous observation planning and scheduling method for ground regional targets

A ground area and scheduling method technology, applied in the aerospace field, can solve problems such as strong constraints and inability to obtain target observation times, and achieve the effect of reducing waste of resources and saving satellite resources

Active Publication Date: 2019-03-26
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

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  • Multi-satellite continuous observation planning and scheduling method for ground regional targets
  • Multi-satellite continuous observation planning and scheduling method for ground regional targets
  • Multi-satellite continuous observation planning and scheduling method for ground regional targets

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[0044] In order to better illustrate the purpose and advantages of the present invention, the content of the invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0045] In order to verify the feasibility of the method, the starting and ending time of the observation task is selected from 2:00 on July 18, 2018 to 6:00 on the 18th; the observation target area is (109,116,-20,-13), that is, the latitude and longitude of the four vertices are ( 13N, 109E), (13N, 116E), (20N, 116E), (20N, 116E) areas; the payload requirement is a visible light camera.

[0046] Such as figure 1 As shown, the multi-satellite continuous observation planning and scheduling method for ground area targets disclosed in this embodiment includes the following steps:

[0047] Step 1. Determine the available satellite resource parameters according to the mission start and end time and load type requirements.

[0048] The start and end time of the mission...

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Abstract

The invention discloses a Multi-satellite continuous observation planning and scheduling method for ground regional targets, belonging to the aerospace technical field. A method for realize that invention comprises the follow steps: according to the observation demand of the task, determining the available satellite resource parameter, and decomposing the regional target into a plurality of sub-regional targets according to the satellite resource parameters; Solving the visible window of the satellite to the sub-target, fusing the windows to obtain the large visible window; According to the parameters of satellite and large visible window, determining automatically the parameters of population model, establishing multi-population model, defining sub-population fitness function and constraint function , and solving each sub-population by genetic algorithm, and acquiring the sub-population planning and scheduling scheme. According to the constraint value and fitness, the autonomous selection strategy is used to select the optimal scheme in the subpopulation planning and scheduling. The invention can meet the requirement of continuous observation time length and the requirement of saving satellite resources, and realizes the planning and scheduling of continuous observation tasks of multi-satellite area targets in a flexible and autonomous manner with high efficiency.

Description

technical field [0001] The invention relates to a multi-satellite autonomous ground area target continuous observation task planning and scheduling method based on a dynamic multi-population genetic algorithm, which belongs to the field of aerospace technology. Background technique [0002] With the development of aerospace technology, the ability of satellites to observe the earth is getting stronger and stronger. Satellite observation plays an important role in disaster warning, geographic surveying and mapping, military reconnaissance and other aspects. The number and types of various observation satellites in space are also increasing year by year. However, the resources of the ground station matching the satellite are limited, relying on the ground station to plan satellite missions and manipulating the satellite through remote control will not be able to fully meet the needs of multiple satellites. Therefore, it is necessary to study the autonomous planning and schedu...

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Application Information

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IPC IPC(8): G06N3/12G06Q10/04
CPCG06N3/126G06Q10/04
Inventor 徐瑞赵宇庭崔平远朱圣英刘阳
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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