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作 者:朱凯[1] 陈健 吕桃林[1] 付诗意 吴磊 晏莉琴[1] 王可[1] 解晶莹[1] ZHU Kai;CHEN Jian;LÜTaolin;FU Shiyi;WU Lei;YAN Liqin;WANG Ke;XIE Jingying(Shanghai Institute of Space Power‑Sources,Shanghai 200245,China)
出 处:《上海航天(中英文)》2021年第3期197-206,共10页Aerospace Shanghai(Chinese&English)
摘 要:数字孪生系统是一种详细描述现实系统的数字化模拟系统,基于虚拟空间中的模型理解、预测、优化和控制现实系统,与现实系统具有实时性、同步进化性和交互性。为满足未来空间飞行器智能化、高机动性、多目标任务的特点,需要提升空间电源系统智能化监测管理能力。本文分析了空间电源数字孪生系统的构成要素,从数字孪生模型构建、新型传感技术以及数据驱动原理出发,构建数字孪生系统。依据天上-地面-数字空间各1套电源系统的原则,实现对空间电源荷电状态、电源健康状态等性能进行精准状态诊断和预测并优化控制策略,在保证飞行器任务实现的前提下提高电源系统的可靠性。The digital twin system is a digital simulation system that describes the real system in detail.Based on the model understanding,prediction,optimization and control of the real system in the virtual space,it has real-time,synchronous evolution and interactivity with the real system.In order to meet the characteristics of intellectualization,high maneuverability,and multi-target missions of spacecraft in the future,it is necessary to improve the intelligent monitoring and management capabilities of the space power-source system.In this paper,the constituent elements of the digital twin system for space power-sources are analyzed,and the digital twin system is constructed based on the construction of the digital twin model,new sensing technology,and data-driven principles.According to the principle that there should be one independent set of power-source system in the sky,the ground,and the digital space,it realizes accurate state diagnosis and prediction of the space power state of charge(SOC),state of health(SOH),and other performance,optimizes the control strategy,and improves the power system under the premise of ensuring the realization of aircraft missions.
关 键 词:空间电源 数字孪生 传感技术 数据驱动 健康状态 寿命预测
分 类 号:V442[航空宇航科学与技术—飞行器设计]
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