| As the hardware level of imaging satellites increases,the satellite can realize more and more functions.Such as the large angle attitude maneuver capability,the perception of its own resources,and the ability to perceive real-time task demands.And satellites have the opportunity to evolve from the instruction execution to an agent,which can finish the complex task independently.These enhancements have higher requirements for satellite applications.Obviously,the traditional satellite ground control mode can’t satisfy the satellite observation requirements of task timeliness and high reliability.Then onboard autonomous mission planning idea provides a good solution for emergency tasks.But due to the computing resource and information interaction ability of satellites is extremely limited,so the exploration of the on-board autonomous mission planning will also encounter many difficulties.At present,our country is in the initial stage of satellite intelligent research.At the same time,it is also a chance to develop intelligent satellites.Under the background of the vigorous development of intelligent satellites,this paper fully studies the design details and their inner relations of the traditional agile satellite mission planning system.It is found that the traditional task planning system has many limitations,such as the long work period when dealing with the emergency tasks and the low efficiency of information transition and etc.This paper also analyzes the demand of timeliness,external environment and hardware capability of agile satellite autonomous mission planning system,designs the structure and operation of the whole system process of autonomous mission planning system.The integrated design of the satellite part and ground part in this system is also provided in this paper,which also detailed designs the inner structure and information exchange mechanisms of satellite mission re-planning system.All these design can achieve efficient information exchange between satellite and ground station,at the same time,ensure the daily execution of autonomous mission planning system.Through the analysis of system use cases and processes,it is determined that the core function in the system is realized by the on-board re-planning method.The quality of the re-planning method will directly affect the overall efficiency of the system and the planning results of the task.This paper finds out the difference between the traditional long-period task planning problem and the on-board re-planning problem for multi-source emergency tasks.It is found that the algorithm performance parameters such as time efficiency and space efficiency can’t be neglected,and the algorithm performance parameters will directly affect the size of the solution space,thus affecting the re-planning program benefits.Therefore,on the basis of considering time cost and space cost on satellite,a model of on-board autonomous task re-planning problem is proposed and a replanning method based on algorithm selection is proposed,which is proved theoretically based on operational research and systems engineering.The complexity of the method can be satisfied in any scene,and a suitable algorithm can be found to guarantee the quality of the solution.After completing the design of the autonomous task planning system and solving the autonomous task re-planning problem on the satellite,the simulation experiment platform is designed and analyzed through the actual test data.In this paper,the simulation experiment platform is built according to the satellite parameter design specification and system function requirements,including the design of the parameters in the platform and the design of the auxiliary functions.Then,from the macroscopic and microscopic viewpoints respectively,this paper designs the evaluation indexes for the autonomous mission planning system and the re-planning method.According to the actual simulation data,the scientific and the applicability of the system and method designed in this paper are verified.At the same time,the direction of the autonomous task planning system and the re-planning method are obtained. |
