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首页> 外文期刊>Journal of aerospace engineering >Optimal Satellite Orbit Design for Prioritized Multiple Targets with Threshold Observation Time Using Self-Adaptive Differential Evolution
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Optimal Satellite Orbit Design for Prioritized Multiple Targets with Threshold Observation Time Using Self-Adaptive Differential Evolution

机译:阈值观测时间优先的多目标自适应微分算法的最优卫星轨道设计

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This study considers a satellite orbit design when a given set of target sites needs to be visited within an assigned period. Optimization of the orbit design takes into account target properties such as priority and minimum duration of observation time. Equations describing satellite orbit are used to compute the satellite's field of view and ground track. Scheduling of visits to the targets is carried out by maximizing the observation time over priority-weighted targets and minimizing the distance between the ground track and the target position while satisfying the constraints with respect to the minimum duration of observation time and revisit requirement. A self-adaptive differential evolution (SA-DE) algorithm with the ability to adjust its search parameters is used to find the best solution. The proposed design methodology computes the optimal values of design variables and also the start and end observation time points of each target. Regional and global case studies demonstrate that the SA-DE/best/1/bin variant is found to be the most suitable optimizer for orbit design. (C) 2014 American Society of Civil Engineers.
机译:这项研究考虑了在指定时期内需要访问一组给定目标站点时的卫星轨道设计。轨道设计的优化考虑了目标属性,例如优先级和最小观察时间。描述卫星轨道的方程式用于计算卫星的视场和地面轨迹。通过最大化优先权重目标上的观察时间并最小化地面轨迹与目标位置之间的距离,同时满足有关最小观察时间和重新访问要求的约束条件,来安排对目标的访问计划。具有调整其搜索参数能力的自适应差分进化(SA-DE)算法用于找到最佳解决方案。提出的设计方法可以计算设计变量的最佳值,以及每个目标的开始和结束观察时间点。区域和全球案例研究表明,发现SA-DE / best / 1 / bin变体是最适合轨道设计的优化器。 (C)2014年美国土木工程师学会。

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