A satellite joint observation task planning method

A technology of mission planning and satellite observation, which is applied in genetic rules, instruments, data processing applications, etc., can solve problems such as slow algorithm convergence speed, long algorithm calculation time, and insufficient constraints, and achieve the goal of reducing calculation time and improving convergence speed Effect

Active Publication Date: 2019-03-01
NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP +1
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  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to propose a satellite joint observation task planning method in order to solve the problems of insufficient modeling constraints, slow algorithm convergence speed, and long algorithm calculation time when solving the existing satellite joint observation task planning problem

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  • A satellite joint observation task planning method
  • A satellite joint observation task planning method
  • A satellite joint observation task planning method

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specific Embodiment approach 1

[0023] Specific implementation mode one: combine figure 1 Describe this embodiment, the specific process of a kind of satellite joint observation task planning method of this embodiment is:

[0024] Step 1. Construct a satellite observation task model according to the needs of engineering practice and user requirements;

[0025] Step 2. Assume that within a given planning period (such as 0:00 on January 1, 2018 to 0:00 on April 1, 2018) the satellite observation tasks and observation resources remain unchanged (such as the load on the satellite remains unchanged) and the interstellar link Under the condition of stable road, based on the satellite observation task model, the satellite observation task planning model is constructed;

[0026] Step 3, constructing a mathematical model of constraints based on the set of constraints in the satellite observation task planning model obtained in step 2;

[0027] Step 4: Design a genetic algorithm based on a greedy strategy based on a...

specific Embodiment approach 2

[0028] Specific implementation mode two: the difference between this implementation mode and specific implementation mode one is: in said step one, the satellite observation task model is constructed according to the needs of engineering practice and user requirements; the specific process is:

[0029] Suppose there are N satellites and T objects to be observed, and the satellite observation task model is task nq , then task nq Can be expressed as:

[0030]

[0031] in:

[0032] task nq for satellite sat n The qth observation task of , q=1,2,...,r n ,r n is the number of observation tasks of the nth satellite;

[0033] sat n It is the nth satellite, n=1, 2,..., N, and the value of N is a positive integer;

[0034] SAT is a collection of satellites;

[0035] for task nq the target of observation;

[0036] tgt t is the tth observation target, t=1,2,...,T, T is a positive integer;

[0037] TGT is the set of observation targets;

[0038] meet nq For the task ta...

specific Embodiment approach 3

[0048] Specific implementation mode 3: The difference between this implementation mode and specific implementation mode 1 or 2 is that in the step 2, it is assumed that within a given planning period (for example, from 0:00 on January 1, 2018 to 0:00 on April 1, 2018 ) satellite observation tasks and observation resources remain unchanged (for example, the load on the satellite remains unchanged) and the interstellar link is stable, based on the satellite observation task model, a satellite observation task planning model is constructed; the specific process is as follows:

[0049] The satellite observation task planning under the condition of real-time information acquisition is to assume that the tasks and observation resources within a given planning period are unchanged and the interstellar link is stable, and the earth observation satellites with heterogeneous satellite capabilities complete the task allocation.

[0050] Assuming that the satellite observation task plannin...

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Abstract

The invention discloses a satellite joint observation task planning method, and relates to a satellite joint observation task planning method. The objective of the invention is to solve the problems of insufficient modeling consideration constraint conditions, low algorithm convergence speed and long algorithm calculation time when a satellite joint observation task planning problem is solved in the prior art. The method comprises the steps of 1, constructing a satellite observation task model; 2, establishing a satellite observation task planning model on the basis of a satellite observationtask model under the conditions that satellite observation tasks and observation resources in a given planning time period are not changed and interstellar links are stable; Step 3, constructing a mathematical model of constraint conditions based on the constraint condition set in the satellite observation task planning model obtained in the step 2; and step 4, designing a genetic algorithm basedon a greedy strategy based on the mathematical model of the constraint condition to complete satellite joint observation task planning. The method is applied to the field of satellite joint observation task planning.

Description

technical field [0001] The invention relates to a satellite joint observation task planning method. Background technique [0002] The observation of ground targets by imaging satellites through space-borne cameras and video cameras is an important means of obtaining ground information. With the development of the current socio-economic and military fields, the application of ground imaging reflects a wide range of imaging areas, frequent observations, and It has the characteristics of various methods and strong timeliness of imaging. For the satellite dispatch center, it is necessary to allocate imaging satellites and receiving resources from a global perspective for comprehensive dispatch, provide spatial information support, allocate satellite resources reasonably, and optimize dispatch when resources conflict, and formulate a reasonable dispatch plan. Get maximum benefit in limited time. At present, the mission planning method of a single imaging reconnaissance satellit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06N3/12
CPCG06N3/126G06Q10/06315
Inventor 雷明佳李玉庆陈韬亦冯小恩张超路志勇
Owner NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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