Font Size: a A A

Disaster Monitoring Microsatellite Autonomous Mission Planning And Design

Posted on:2021-08-21Degree:MasterType:Thesis
Country:ChinaCandidate:X Y LongFull Text:PDF
GTID:2492306503468214Subject:Aeronautical and Astronautical Science and Technology
Abstract/Summary:PDF Full Text Request
In this paper,we design the satellite autonomous mission planning algorithm based on the fire disaster monitoring background.Firstly,we establish cluster graph model of single satellite cluster preprocessing algorithm,and considering the observation time window,observation time,the maximum start-up time,the slewing angle and the pitching angle,the resolution of the sensor and so on constraints.We solved the minimum clique partition of the graph model considering the maximum priority and the minimum slewing angle,and the clustering tasks are obtained.In the mission planning stage,considering the satellite platform and payload constraints,the constraint satisfaction model is established with the optimization objective of task priority and task completion maximization,and GA-SA hybrid algorithm is designed to solve the problem.When designing the multi-satellite mission planning algorithm,the multi-resource task allocation is firstly carried out based on the task priority and the equalization of the number of tasks performed by satellites.After the task allocation,the minimum clique partition algorithm can be directly adopted.Secondly,the single satellite mission planning model and algorithm are improved to make it suitable for multi-satellite problems.Finally,a multi-satellites target recognition and dynamic target trend prediction scheme are proposed.The single satellite simulation results show that the mission clustering preprocessing and mission planning algorithm can reach the expected design goals,and the cluster partitioning algorithm based on the maximum task priority and the minimum slewing angle is efficient.In addition,GA-SA algorithm can effectively solve the constraint satisfaction model and has higher optimization ability and reliability than single GA or single SA algorithm.Simulation results of multi-satellite mission planning show that the multi-resource task allocation algorithm based on task priority and satellite task equalization can effectively allocate multi-resource tasks,and the improved GA-SA algorithm can realize multi-satellite mission planning.Moving target identification and trajectory prediction scheme can also provide reference for actual disaster monitoring.
Keywords/Search Tags:Earth observation satellite, Task clustering, Mission planning, GA-SA hybrid algorithm
PDF Full Text Request
Related items