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作 者:李明铭 郭帅 杨迪 梁彦刚[1,2] LI Mingming;GUO Shuai;YANG Di;LIANG Yangang(College of Aerospace Science and Engineering,National University of Defense Technology,Changsha 410073,China;Hunan Key Laboratory of Intelligent Planning and Simulation for Aerospace Missions,Changsha 410073,China)
机构地区:[1]国防科技大学空天科学学院,长沙410073 [2]空天任务智能规划与仿真湖南省重点实验室,长沙410073
出 处:《宇航学报》2024年第9期1364-1375,共12页Journal of Astronautics
摘 要:为应对地球观测卫星(EOS)任务过程中面临的应急任务处置、卫星失效等突发情况,考虑通信约束,提出了一种针对卫星观测敏感器的预调度与重调度相结合的分布式调度方法。首先,提出一种多点交叉变异的分布式遗传算法(MDGA),产生高鲁棒性的初始对地观测方案,完成观测资源预调度。然后,面对应急任务处置需求和卫星失效事件,设计一种基于星间通信约束的合同网协议算法(ICCNP),使观测方案可动态调整,实现观测资源重调度。仿真结果表明,所提方法在预调度阶段相比集中式遗传算法、贪婪算法等算法显著提高了调度收益;在重调度阶段,所提方法能局部调整任务方案,以对任务方案扰动最小的方式,合理安排应急任务并重新分配失效卫星未完成的任务。To cope with unexpected situations such as emergency task disposal and satellite failure during the Earth observation satellite(EOS)mission,a distributed scheduling method combining pre-scheduling and re-scheduling for satellite observation sensors considering communication constraints is proposed.Firstly,a multi cross-mutated distributed genetic algorithm(MDGA)is proposed to generate a highly robust initial observation scheme to complete the prescheduling of observation resources.Then,facing the unexpected situations of emergency tasks disposal and satellite failure,an inter-satellite communication contract net protocol(ICCNP)is designed so that the observation scheme can be dynamically adjusted to realize the rescheduling of observation resources.Simulation results show that the proposed method significantly improves the scheduling gains compared with the centralized genetic algorithm,greedy algorithm,and other algorithms in the pre-scheduling stage.During the rescheduling phase,the proposed method can locally adjust the mission scheme to arrange emergency tasks and redistribute unfinished tasks of failed satellites in a way that minimizes the disturbance to the mission scheme.
关 键 词:分布式遗传算法 合同网协议 通信约束 星群应急调度
分 类 号:V474.2[航空宇航科学与技术—飞行器设计]
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