Satellite-ground joint operation method for autonomous planning of constellation observation tasks
A technology for mission planning and operation methods, applied in data processing applications, instruments, calculations, etc., and can solve problems such as data delay, weak satellite computing capabilities, and limited ground measurement and control resources.
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specific Embodiment approach 1
[0056] Specific implementation mode 1: The specific process of the satellite-ground joint operation method for autonomous planning of constellation observation tasks in this implementation mode is as follows: Figure 1-5 shown;
[0057] Introduction to the process of the joint operation mechanism of the satellite and the ground
[0058] In the initial stage, an initial mission plan is generated for each satellite through unified ground centralized planning. After the initial mission of each satellite starts to execute, under normal circumstances, each satellite performs the expected observation mission according to the established initial mission plan, and observes the area (satellite Observation target, such as satellite observation area); when there is an unexpected observation task, the satellite independently judges whether it can obtain ground communication support at this time:
[0059] If there is an available satellite-ground link, the satellite will receive ground co...
specific Embodiment approach 2
[0083] Specific implementation mode two: combination Figure 12 This embodiment is described. The difference between this embodiment and the first embodiment is that the re-planning of the ground centralized constellation dynamic collaborative task in the step 6 adopts a genetic algorithm based on real number coding, and the specific process is:
[0084] When using genetic algorithm for satellite mission planning, binary coding is often used. That is, each bit of the chromosome represents the time window corresponding to a certain target, and its value is 0 or 1, which represents whether this time window is selected to arrange observation tasks, and the length of the chromosome is the visible time window of all targets for all satellites quantity. However, considering that when the planning interval is long in practical applications, the number of visible time windows of the target is large, the chromosome generated by binary coding is too long, and each bit of the chromosome...
specific Embodiment approach 3
[0101] Embodiment 3: The difference between this embodiment and Embodiment 1 or 2 is that the fitness value of each individual calculated in step 63 is obtained by optimizing the objective function;
[0102] where the optimization objective is Q 1 , Q 2 or Q 3 ;
[0103]
[0104] V i is the revenue value of the satellite observation target (the revenue value of the satellite observation target is related to the importance and priority of the target, and the higher the importance and priority of the target, the larger the revenue value), x i Whether the observation target is selected for observation, if it is selected for observation x i = 1, if not selected to observe x i = 0, Q 1 Optimize the objective function for the first type;
[0105]
[0106] e i is the cost of the observation target (the battery energy consumed by the observation target), Q 2 Optimize the objective function for the second type;
[0107] the y i Whether the observation arrangement for...
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