The Research On Modeland Algorithm Of Autonomous Mission Planing For Multi Imaging Satellites

In recent years,the situation that the traditional engineers on the ground make task plans according to preset conditions and resources increasingly has been proven to have many shortcomings.As a result,scholars of many countries have been studying on the satellite' self survival and autonomous mission planing to reduce the dependence on the ground planning control.However the current studies mostly focus on the single satellite.With the increasing depth of space activities and the boom of satellite types and number,users' requests about the timeliness and ductility of the tasks and the diversity and dynamics of the observation objectives,affected by the satellite orbit,a single satellite is difficult to meet the increasingly complex needs of the observation,a growing need for coordination and mutual cooperation of different imaging satellite to complete the task from different angles.Compared to the single satellite imaging,multi satellites have stronger observation ability and superior observation advantage,so this study aims at providing solutions of satellite autonomous mission planning system.Our research outcomes includes the following five parts:Firstly,according to the characteristics and difficulties of multi satellites autonomous mission planning problem,divided the multi satellite mission planning problem into two independent problems: multi satellite task allocation and single satellite autonomous mission planning.cleared the output and input of each stage,and designed detailed planning framework and work flow of the satellite autonomous mission problem.Secondly,combined the satellite system modeling and satellite autonomous mission planning modeling and cleared all the components of the satellite subsystem.Besides gave the general expressions of the system activities,status attributes,action constraints and task decomposition process.Then,constructed a general constraint satisfaction model of imaging satellite mission planning problem based on the task set,satellite set,four the class set of constraints and objective functions.Then,combined the planning domain definition language PDDL and the HTN task decomposition method,implemented the inference process based on subsystem activity,action constraint and task subset.Then,in order to improve the performance of the model,a combination of genetic algorithm and simulated annealing(SA)is introduced for the autonomous task planning model.Finally,the mission planning problem of multi imaging satellites is simulated by using the satellite simulation toolkit STK 8.1.1,and a variety of classical algorithms were introduced to verify the rationality of the model and the effectiveness of the algorithm.