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Considering the limited resource, complex constraint and parallel activities, autonomous planning of spacecraft mission is investigated in this paper. A method for calculating the spacecraft resource based on the temporal topological sort is proposed. In consideration of resource production and consumption in the planning result, a resource constraint network model is introduced to express resource requirement for each activity. According to the analysis of the relations between resource changes and activity executing time, the resource mutation time of the resource constraint network is topologically sorted in the resource processing. The selection process of flow pushing path is optimized, and the time complexity is O(n²). Finally, the numerical simulation result shows that the algorithm improves the efficiency of resource processing. [ABSTRACT FROM AUTHOR]

Aiming at reducing the huge amount of computation in separated modular spacecraft system optimization, in this paper, a new method for the separated spacecraft system optimization based on hierarchical structure is introduced. This method decomposes the system optimization problem to three hierarchies: the exterior cycle optimizes the number of modules and the height of orbit, the middle cycle optimizes the component configuration, and the interior cycle optimizes launch vehicles and batches. Middle cycle is nested in the exterior cycle, while the interior cycle is nested in the middle cycle. By this method, the computational cost is largely reduced. The effectiveness of this optimization method is verified in the case study of a virtual earth remote sensing separated modular spacecraft. [ABSTRACT FROM AUTHOR]