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Uncertainty-based Optimization Algorithms in Designing Fractionated Spacecraft

机译:基于不确定性的分级宇宙飞船的优化算法

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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:分级的航天器是分配空间系统的创新应用。为了充分了解各种不确定性对其开发,发射和轨道运行的影响,我们使用随机的Massycycle成本全面评估了分割分级不同配置的各种模块的剥离性,灵活性,可靠性和经济性的能力,灵活性,可靠性和经济性航天器。我们系统地描述了其概念,然后分析了近年来存在的评估和最佳设计方法,并提出了随机性综合评价的随机发展赛。我们还分别建立了模块开发,发布和部署以及其不确定性的影响等成本的模型。最后,我们在各种不确定性下进行了各种配置的蒙特卡罗模拟各种配置的各种配置,并使用两次定时模块更换的两种策略,提供了随机性长期开发成本的概率密度分布和统计特征。非计时模块更换。仿真结果验证了综合评价方法的有效性,并表明我们的评估方法可以全面评估分馏太空船在不同技术和任务条件下的适应性。

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