Multi-target task planning method
A mission planning, multi-target technology, applied in satellite radio beacon positioning systems, measurement devices, instruments, etc., can solve problems such as complex methods, no targeted research on the working mode of satellite software, and inability to adapt to on-orbit workflows.
Active Publication Date: 2019-01-15
上海航天空间技术有限公司
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[0003] At present, there are many researches on mission planning methods for such agile satellites. These methods are either too complicated to run in real time on orbit, or there is no targeted research on the working mode of star software so that they cannot adapt to the on-orbit workflow.
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[0029] In order to make the above objectives, features and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0030] Such as Figure 1~4 As shown, the present invention provides a multi-objective task planning method, including:
[0031] Step S1: Obtain the latitude and longitude and observation weight information of the multi-target information as input conditions for window forecasting and mission planning;
[0032] Here, multiple key target information can be obtained, and relevant information of all targets can be marked from the ground, including target code, latitude and longitude, and observation weight information. The larger the observation weight revision, the higher the priority;
[0033] Step S2: According to the longitude and latitude and observation weight information of the multi-target information, and based on the ...
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The invention provides a multi-target task planning method. The method comprises the following steps: acquiring longitude and latitude of multi-target information and observation weight information asinput conditions of window forecasting and task planning; according to the longitude and latitude of the multi-target information and the observation weight information, computing a target elevationand an observation maneuvering angle to judge time of entering and leaving a window on the basis of a cycle iteration working mode of satellite software, thereby obtaining a window duration optimization list; obtaining final working window list data by utilizing the longitude and latitude of the multi-target information, the observation weight information, and the window duration optimization list; and enabling a satellite to perform attitude maneuvering according to the working window list data so as to observe a target. The multi-target task planning method suitable for real-time satellite software is suitable for an agile satellite platform making large-angle attitude maneuvering. The multi-target task planning method disclosed by the invention is simple and reliable, and can be directly realized on the on-satellite programming for an operation mode of the satellite software, thereby achieving real-time in-orbit operation.
Description
Technical field [0001] The invention relates to a multi-objective task planning method. Background technique [0002] In order to improve the collimation and interference efficiency and reduce the signal-to-noise ratio, many types of imaging payloads have a narrow field of view, such as hyperspectral imaging technology. For the narrow field of view load, it is suitable for installation on a satellite platform that can do large-angle attitude maneuvering to make up for the problem of insufficient observation range caused by the narrow field of view. For multiple targets, the first problem is how to obtain the target's observation window and how to effectively allocate observation resources. [0003] At present, there are many researches on mission planning methods for such agile satellites. These methods are either too complicated to run in orbit in real time, or there is no targeted research on the working mode of satellite software so that they cannot adapt to the on-orbit workfl...
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IPC IPC(8): G01C21/24G01S19/01G01S19/07
CPCG01C21/24G01S19/01G01S19/07
Inventor 宋君强关欣边志强
Owner 上海航天空间技术有限公司