Research On Multi-satellites Mission Coordinative Configuration And Data Transmission Scheduling Method

With the rapid development of the aerospace technology, the number of satellitestraveling on orbits has trended upwards, and the application domain of satellites hasbecome more widely. Deeply depending on satellite data, it requests us must rationallyassign and schedule satellite resources to best meet varied earth observation requestswith limited resources and time.On the basis of some existing satellite scheduling systems managing different andirrelevant satellite clusters, we consider how to build a complex earth observing systemthrough coupling these irrelevant systems on the premise of not reconstructing thesesatellite scheduling systems, making it to effectively cooperate complex missionscheduling, coordinative utilize data transmission resources, and improve the benefits ofearth observation, which is an urgent problem in the aerospace field.The main work of this dissertation can be concluded as the following:(1) A framework for the multi-satellites mission coordinative configuration anddata transmission resources scheduling is established. On the basis of analyzing theproblem of multi-satellites coordinative configuration and the character of satellitecluster, we couple these satellite scheduling systems to be an organizing resource modelof the loosely coupled system oriented tasks, adopting the idea of secondary distributingresources, proposing the framework for effectively cooperating the scheduling of thesesatellite scheduling systems and coordinative utilizing data transmission resources.(2) A method of mission distribution based on the expert system technologycombining with the adaptive ant colony algorithm is designed. Adopting the idea ofsecondary distributing resources, we apply the expert system technology to bind eachatomic task with resource class, implementing the first level distribution of satellitecluster resources. And the adaptive ant colony algorithm is proposed to bind eachatomic task with resource entity, which is the second level distribution of satellitecluster resources. Finally, the simulation examples show the idea of secondarydistributing resources can solve the mission distribution problem of multi satelliteclusters.(3) A genetic algorithm for multi-satellites data transmission scheduling based onthe revision strategy of conflict is implemented. This dissertation doesn’t adopt thetraditional conflict-discard strategy, establishing a scheduling model of the satellitedata transmission based on the revision strategy of conflict, designing a schedulingapproach for the satellite data transmission based on the master and slave allocation oftime windows. Finally, the experiments are implemented to prove the algorithm caneffectively improve resources utilization and solve the scheduling problem of thesatellite data transmission. (4) According to the above researches, the prototype system for the multi-satellitesmission coordinative configuration and data transmission resources scheduling isdesigned and implemented.