系统仿真学报 ›› 2019, Vol. 31 ›› Issue (3): 377-384.doi: 10.16182/j.issn1004731x.joss.18-FZ0524

• 专栏:数字孪生及应用 • 上一篇    下一篇

航天控制系统基于数字孪生的智慧设计仿真

刘潇翔1,2, 汤亮1,2, 曾海波1,2, 刘羽白1,2, 张新邦1,2   

  1. 1. 北京控制工程研究所,北京100190;
    2. 空间智能控制技术重点实验室,北京 100190
  • 收稿日期:2018-05-20 发布日期:2019-11-20
  • 作者简介:刘潇翔(1983-),女,吉林,博士,高工,研究方向为航天器控制;汤亮(1976-),男,甘肃,博士,研究员,研究方向为航天器控制;曾海波(1972-),男,广东,博士,研究员,研究方向为航天器控制。
  • 基金资助:
    国家自然科学基金(61304037)

Smart Design and Simulation of Aerospace Control System Based on Digital Twin

Liu Xiaoxiang1,2, Tang Liang1,2, Zeng Haibo1,2, Liu Yubai1,2, Zhang Xinbang1,2   

  1. 1. Beijing Institute of Control Engineering, Beijing 100190, China;
    2. Science and Technology on Space Intelligent Control Laboratory, Beijing 100190, China
  • Received:2018-05-20 Published:2019-11-20

摘要: 针对航天器智能化研制发展需求,论述了现有基于模型驱动的航天控制系统设计仿真实现方式,提出了利用数字孪生和数字纽带实现智能化方案设计、仿真验证与在轨分析的技术框架。采用信息物理融合系统的智联特性,建立天地一体化大数据分析和知识自动化体系,贯穿全研制流程、全生命周期给出了切实的应用场景。该智慧设计仿真系统不仅涵盖了信息技术在航天领域的智能化应用,更重要的是强调面向知识、推动创新的发展理念,以适应未来更加复杂的空间任务需求。

关键词: 航天控制系统, 数字孪生, 数字纽带, 智慧设计, 智慧仿真

Abstract: In accordance with the demand for intelligent development of spacecraft, and on the basis of the existing model-driven aerospace control design and simulation system, the new technological architectures using the digital twin and digital thread technique are carried out to achieve intelligent scheme design, simulation verification and in-orbit analysis. Employing the intelligent interconnection concept of cyber-physical systems, the space-ground integrated big data analysis and knowledge automation system are proposed. Based on this, the practical application scenarios are put forward through the full development flow and the entire life cycle. Not only it covers the smart application of information technology, more importantly, this novel design and simulation system emphasizes the development concept of facing knowledge and promoting innovation to meet the more complex task requirements in the future.

Key words: aerospace control system, digital twin, digital thread, smart design, smart simulation

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