Uncertainty-based Optimization Algorithms in Designing Fractionated Spacecraft.
Uncertainty-based Optimization Algorithms in Designing Fractionated Spacecraft.
复制标题
分段航天器设计中基于不确定性的优化算法
DOI：
10.1038/srep22979
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发表时间：
2016-03-11
影响因子：
4.6
通讯作者：
Yue X
中科院分区：
文献类型：
--
作者：
Ning X;Yuan J;Yue X
分体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研制、发射和在轨运行的影响，采用随机任务周期费用综合评价了不同构型的分体式航天器各模块划分方式的生存性、灵活性、可靠性和经济性。本文系统地阐述了随机任务周期费用的概念，分析了近年来存在的任务周期费用评估和优化设计方法，提出了用随机任务周期费用进行综合评估。并分别建立了模块开发、发射和部署等成本及其不确定性影响的模型。最后，采用定时模块替换和非定时模块替换两种策略，对不同不确定条件下不同构型的分体航天器的完整任务周期费用进行了蒙特卡罗仿真，给出并比较了其随机任务周期费用的概率密度分布和统计特性。仿真结果验证了综合评价方法的有效性，表明该评价方法能够综合评价分馏航天器在不同技术和任务条件下的适应性。
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.