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Uncertainty-based Optimization Algorithms in Designing Fractionated Spacecraft

机译:分馏航天器设计中基于不确定度的优化算法

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摘要

A fractionated spacecraft is an innovative application of a distributive space system. To fully understand the impact of various uncertainties on its development, launch and in-orbit operation, we use the stochastic missioncycle cost to comprehensively evaluate the survivability, flexibility, reliability and economy of the ways of dividing the various modules of the different configurations of fractionated spacecraft. We systematically describe its concept and then analyze its evaluation and optimal design method that exists during recent years and propose the stochastic missioncycle cost for comprehensive evaluation. We also establish the models of the costs such as module development, launch and deployment and the impacts of their uncertainties respectively. Finally, we carry out the Monte Carlo simulation of the complete missioncycle costs of various configurations of the fractionated spacecraft under various uncertainties and give and compare the probability density distribution and statistical characteristics of its stochastic missioncycle cost, using the two strategies of timing module replacement and non-timing module replacement. The simulation results verify the effectiveness of the comprehensive evaluation method and show that our evaluation method can comprehensively evaluate the adaptability of the fractionated spacecraft under different technical and mission conditions.
机译:分级航天器是分布式空间系统的创新应用。为了充分了解各种不确定性对其发展,发射和在轨运行的影响,我们使用随机任务周期成本来全面评估划分不同构型的各个模块的方式的生存性,灵活性,可靠性和经济性飞船。我们系统地描述了其概念,然后分析了其近年来的评估和最佳设计方法,并提出了随机的任务周期成本进行综合评估。我们还将建立成本模型,例如模块开发,启动和部署以及不确定性的影响。最后,我们使用定时模块替换和时间替换两种策略,对分馏航天器各种配置在各种不确定性下的完整任务周期成本进行了蒙特卡罗模拟,并给出并比较了其随机任务周期成本的概率密度分布和统计特征。非定时模块更换。仿真结果验证了综合评估方法的有效性,表明我们的评估方法能够综合评估分馏航天器在不同技术和任务条件下的适应性。

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