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多星任务规划模型及算法

Multi‑satellite Task Scheduling Model and Algorithm
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摘要 首先,针对多星任务规划问题,介绍了任务和卫星资源建模以及星上任务冲突分析模型,并在此基础上构建了多星任务规划模型;然后,提出了基于组合智能算法的任务调度算法;最后,通过仿真试验验证了该算法的有效性和适用性。仿真试验结果表明,该算法与传统蚁群算法、禁忌算法和贪心算法相比计算耗时短、规划效益高,可满足多星任务快速规划需求。 Firstly,aimed at multi-satellite task scheduling problem,the task and satellite resource modeling,and task conflict analysis model on satellites are introduced.Based on the above,a multisatellite task scheduling model is constructed.Then,a task scheduling algorithm based on combinato⁃rial intelligent algorithm is proposed.Finally,with simulation experiment,the effectiveness and appli⁃cability of the algorithm are verified.Simulation experiment result shows that compared with the ant colony algorithm,the tabu search algorithm and the greedy algorithm,the algorithm has the shortest calculation time and the highest planning efficiency,and it can meet requirement of rapid multi-satel⁃lites task scheduling.
作者 周美玉 印小冬 刘聪 张禛鑫 邢清雄 尹丽 ZHOU Meiyu;YIN Xiaodong;LIU Cong;ZHANG Zhenxin;XING Qingxiong;YIN Li(The 28th Research Institute of China Electronics Technology Group Corporation,Nanjing 210023,China)
出处 《指挥信息系统与技术》 2023年第3期57-64,共8页 Command Information System and Technology
关键词 多星任务规划 卫星资源建模 任务冲突分析 组合智能算法 multi-satellite task scheduling satellites resource modeling task conflict analysis combi⁃natorial intelligent algorithm
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