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作 者:张路路 陈思雅 金光[1] ZHANG Lulu;CHEN Siya;JIN Guang(College of Systems Engineering,National University of Defense Technology,Changsha 410073,China)
机构地区:[1]国防科技大学系统工程学院,湖南长沙410073
出 处:《系统工程与电子技术》2021年第9期2673-2677,共5页Systems Engineering and Electronics
基 金:国家自然科学基金(71371183,71071158);湖南省研究生科研创新项目(CX20200079)资助课题。
摘 要:针对当前多组源X射线辐射地面模拟试验无法进行的问题,提出一种单组源X射线辐射等效优化方法,用来指导等效单组源X射线辐射地面模拟试验中多因素值的确定。首先,利用克里金模型和层次高斯过程模型等两种数据融合建模方法,分别构建对应的单组源X射线辐射地面模拟试验数据融合模型。然后,分别在克里金模型和层次高斯过程模型的基础上,提出期望提高等效优化算法和层次期望提高等效优化算法。通过对两种优化算法的对比分析可知,层次期望提高等效优化算法在搜索中包含更多不确定性,全局搜索效果更佳。仿真结果表明,所提方法可为后续进行等效单组源X射线辐射地面模拟试验提供目标指导。Aiming at the problem that the ground simulation test of multi-source X-ray radiation can not be carried out at present,an equivalent optimization method of single source X-ray radiation is proposed to guide the determination of multi factor values in the ground simulation test of equivalent single source X-ray radiation.Firstly,twOdata fusion modeling methods,including Kriging model and hierarchical Gaussian process model,are used to construct the corresponding data fusion models of single source X-ray radiation ground simulation test.Then,based on Kriging model and hierarchical Gaussian process model,expectation improvement equivalent optimization algorithm and hierarchical expectation improvement equivalent optimization algorithm are proposed.Through the comparative analysis of the twOoptimization algorithms,it can be seen that the hierarchical expectation improvement equivalent optimization algorithm contains more uncertainties in the search,and the global search effect is better.The simulation results show that the proposed method can provide guidance for the subsequent ground simulation test of equivalent single source X-ray radiation.
分 类 号:V41[航空宇航科学与技术—航空宇航推进理论与工程]
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