Satellite Range Scheduling Methods Oriented To Integrated Scenario Of TT&C Resources And Data Transmission Resources

Since entering the 21 st century,with the rapid development of aerospace technology and the strong stimulation of diversified application demands,space launch activities have intensified and hit new highs.Compared with the booming satellite industry,the construction of satellite ground stations is relatively lagging behind.This imbalance in development has led to a relative lack of ground station resources in satellite-to-ground communications,showing certain overload characteristics.With the development of electronic technology and microwave technology,satellite ground station TT&C equipments and data transmission equipments are gradually converging,showing the characteristics of functional integration.Full use of this feature can effectively improve the utilization of ground station equipment resources and ease the practical problem of the relative scarcity of ground station resources in satellite-to-ground communications.The integrated scheduling of TT&C resources and data transmission resources focuses on the characteristics of functional integration of satellite ground station equipments,and solves the overall scheduling of TT&C requirements and data transmission requirements,so as to better meet the actual needs of relevant agencies and improve the satisfaction of all parties.The problem belongs to a class of typical combinatorial optimization problems under complex constraints.For the integrated scheduling of TT&C resources and data transmission resources,the thesis gives corresponding solutions from different angles.The main work s and innovations include:1.In view of the characteristics and actual needs of integrated scheduling of TT&C resources and data transmission resources,a constraint satisfaction model for the problem is established.Based on the analysis of the scheduling elements,optimization objectives and constraints of the scheduling of TT&C resources and data transmission resources,a constraint satisfaction model covering three optimization objectives of minimizing task conflict time,maximizing load-balance degree,and maximizing task clustering degree is established.The constraint satisfaction model provides basic support for follow-up research.2.A multi-objective optimization method based on NSGA-II is proposed for the integrated scheduling of TT&C resources and data transmission resources.Based on the NSGA-II algorithm framework,coding strategy,crossover operator,and mutation operator that match the integrated characteristics of TT&C resources and data transmission resources are designed.Pareto non-dominant sorting selection pressure drops sharply with the increase of dimensionality,which leads to the disadvantage of unstable optimization.In order to ensure the optimization of the solutions,the load-balance operator,task clustering operator,and conflict resolution operator based on iterative repair are designed,and a multi-objective optimization method based on NSGA-II named NSGA-II-TTC&DT is proposed for the integrated scheduling of TT&C resources and data transmission resources,which can effectively resolve the integrated scheduling of TT&C resources and data transmission resources without decision maker’s preferences.3.A preference-based multi-objective optimization method oriented to the integration of TT&C resources and data transmission resources is proposed.In view of the weight preference of decision maker(reflecting the importance of each optimization goal),a kind of weight preference point based on C hebyshev distance are defined,and a preference-based multi-objective evolutionary algorithm named WG-NSGA-II which is guided by the weight preference point is designed.The preference point dynamic update strategy guides the optimization process and makes the results converging near the weight preference point.O n this basis,a preference-based multi-objective optimization method oriented to the integration of TT&C resources and data transmission resources named WG-NSGA-II-TTC&DT is designed.The algorithm can directly give the decision maker’s expected solution which can reflect the degree of importance of each optimization,a nd better optimization results can be obtained on the optimization goal that the decision maker pays attention to.In addition,the thesis also carries out research on the sp ecial weight preference point named knee point(having the same degree of importance on all optimization objectives),and obtains good experimental results.