中国科技核心期刊

中文核心期刊

CSCD来源期刊

空间控制技术与应用 ›› 2023, Vol. 49 ›› Issue (1): 121-129.doi: 10.3969/j.issn.1674 1579.2023.01.014

• 短文 • 上一篇    下一篇

模型数据混合驱动的航天器健康监测技术

  

  1. 华中科技大学
  • 出版日期:2023-02-26 发布日期:2023-03-22
  • 基金资助:
    智能制造专项行动计划(JCKY2018203A001)、国家重点研发计划(SQ2019YFE20137)和国防基础科研计划(JCKY2020903B001)

Spacecraft Health Monitoring Technology Driven by Model Data Hybrid

  • Online:2023-02-26 Published:2023-03-22

摘要: 针对现有纯数据驱动的航天器健康监测技术不能覆盖非测控弧段,遥测数据有限,无法满足功能复杂化、任务多样化、在轨时间长期化的航天任务需求的问题,提出一种模型和数据混合驱动的航天器健康监测系统架构.该系统以高保真的数字化模型为基础,通过遥测数据与模型的融合,实现对航天器全时间段、连续可靠的状态监控及状态预示.本文对架构中模型实现、遥测数据与模型数据融合、故障诊断等关键技术进行详细描述,并说明在某型号航天器任务过程中的应用验证情况.

关键词: 健康监测, 系统架构, 数据融合, 数字化模型, 故障诊断

Abstract: The existing purely data driven spacecraft health monitoring technology cannot cover the area without measurement and control, and the telemetry data is limited, so that it cannot meet the needs of space missions with complex functions, diversified tasks, and long term orbit. A model and data hybrid driven spacecraft health monitoring system architecture is proposed. The system is based on a credible digital model, combined with on orbit real time telemetry data, to achieve full time, continuous and reliable status monitoring and status prediction of the spacecraft. In this paper, the design of the core technologies  is described in detail, including model implementation and correction, consolidation of telemetry data and model, and fault diagnosis. The application and verification of the framework during a certain type of spacecraft mission is further described.

Key words: health monitoring, system architecture, data fusion, digital model, fault diagnosis

中图分类号: 

  • V412.4