Research On Emergency Autonomous Mission Planning Model And Algorithms For Networked Imaging Satellite

This paper studies the autonomous response to emergency events in the process of satellite mission planning.In this paper,on the basis of imaging satellite autonomous mission planning,combined with domestic and foreign scholars build imaging satellites emergency mission planning scenarios,build the resource constraints and objectives under the restriction of multiple imaging emergency autonomous satellite mission planning problem model,and introducing the genetic algorithm based on entropy weight method insertion heuristic rules to solve the problem of model,generate relatively optimal mission planning scheme.Aiming at the problem of satellite task planning framework design,this paper designs the emergency autonomous task planning framework based on process reasoning.The system structure and work flow of emergency autonomous planning for networked imaging satellites are described.The reasoning process of task autonomous planning and emergency autonomous task replanning is designed.Aiming at the problem of satellite task planning model design,this paper establishes an emergency autonomous task planning model of multi-imaging satellite based on constraint satisfaction.The modeling process includes symbolic representation of resource attribute and target attribute constraint representation and optimization target analysis of emergency autonomous task planning.Aiming at the problem of the data preparation before the algorithm,a specific scenario is designed by using STK8.1.1 software,and the task planning scenario of the networked imaging satellite is established and simulated.The simulation data of the visible time window of each satellite resource for all tasks are obtained,which can be used for the subsequent solution model.Aiming at the problem of task planning,the genetic algorithm based on entropy weight method can be used to solve the emergency autonomous task planning of imaging satellites.Entropy weight method is introduced into genetic algorithm,and the solution process of task planning is not affected by subjective factors of the research subject.Heuristic rules are inserted into the algorithm to improve the efficiency and quality of the algorithm.