Satellite cluster configuration adjustment planning method for space target collaborative observation
A technology of space targets and satellite clusters, applied in prediction, instrumentation, data processing applications, etc., can solve problems such as sudden increase in calculation amount, difficulty in realization, and dimension explosion
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Embodiment 1
[0078] A satellite cluster configuration adjustment planning method for coordinated observation of space targets described in the present invention uses cluster system status information and observation task constraint information as decision-making factors, establishes a coordination graph based on the communication relationship of the cluster, and introduces it under the framework of the coordination graph The MAS reinforcement learning mechanism determines the optimal configuration adjustment strategy of the cluster through the global coordination of the cluster and the local optimization of a single star.
[0079]In the method: the state information of the cluster system includes the relative motion state information of each satellite, the current configuration state of the cluster, the current planning time (decision period) and the orbit control thruster configuration of each satellite in the cluster.
[0080] Observation task constraint information includes configuration...
Embodiment 2
[0114] Satellite Agent autonomous planning structure of the present invention such as figure 1 As shown, the satellites in the cluster are regarded as intelligent agents with autonomous planning capabilities, and the information interaction module, communication module and hardware driver module are responsible for interacting with the system environment and other Agents. The information interaction module is the basis of the agent's autonomous planning and control. It is used to perceive the environment state information and process the agent's own state information and the information of other agents coordinated with it, and then generate coordination information and input it to the planning and decision-making module; the planning and decision-making module is The core of Agent autonomous planning, its function is to make local optimization decisions based on planning algorithms and coordination information, generate planning solutions, and provide local planning informatio...
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