Abstract

The Satellite TT&C scheduling problem (STSP) is researching how to improve the execution of tasks. Among them, the heuristic algorithm is a kind of algorithm that can solve SRSP quickly and give a feasible solution, which has strong practical application value. However, in the previous research, there were few comparative analysis of different heuristic rules, and there was no application criterion. In this paper, we will sort out and experimentally analyze the different heuristic algorithms proposed in the previous research. First, a Task Location Selection Algorithm (TLSA) will be proposed, which is used to select the appropriate ground station time window for the task sequence as the communication time to achieve the goal of maximizing profit. After that, experiments with different heuristic rules will be taken. Analysis will be based on a series of satellites and multiple attributes. Through our analysis, the main significance is to discover the characteristics of the experimental scene and match the existing heuristic rules with the scenes with characteristics to guide the algorithm selection in the actual use process.

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