摘要
为解决同型号火箭控制系统测发数据少、故障样本不足的问题,本文提出一种数字孪生驱动的火箭控制系统健康管理框架。首先,从系统组成层面和飞行任务剖面对控制系统进行系统级分析;在分析控制系统典型故障模式的基础上,提出健康管理系统的功能需求和方案制定;建立控制系统的五维系统组成和四维模型融合,实现其数字孪生体的模型构建;接着提出数字孪生驱动的故障诊断六维系统架构,并从控制系统运维策略实体验证、虚拟模型验证和虚实实时映射来阐述其三阶运行机制;该框架为控制系统典型单机设备的数字孪生故障诊断技术提供了理论依据和模式借鉴。
In order to solve the problems of less measurement data and insufficient fault samples for the same type of rocket control system,a digital twin-driven rocket control system health management framework is proposed in this paper.Firstly,the system-level analysis of the control system is implemented from aspects of the system composition level and the flight mission profile;on the basis of analyzing the typical failure modes of the control system,the functional requirements and scheme formulation of the health management system are proposed;the five-dimensional system composition and four-dimensional system composition of the control system are established.Model fusion is required to realize the model establishment of its digital twin;then,it proposes a six-dimensional system architecture for fault diagnosis driven by digital twin,and expounds its third-order operating mechanism from the control system operation and maintenance strategy entity verification,virtual model verification and virtual-real real-time mapping;this framework can be served as theoretical basis and model reference for digital twin fault diagnosis technology of typical stand-alone equipment of control system.
作者
韩文婷
程龙
韩文婧
杨林郁
Han Wenting;Cheng Long;Han Wenjing;Yang Linyu(Space Engineering University,Beijing 101416,China)
出处
《航天控制》
CSCD
北大核心
2022年第6期62-73,共12页
Aerospace Control
基金
国家自然科学基金(12003078)。
关键词
数字孪生
火箭控制系统
故障诊断
智能制造
Digital twins
Rocket control system
Fault diagnosis
Smart Manufacturing