数字孪生驱动的火箭控制系统故障诊断研究综述  被引量:7

A Summary of the Research on Fault Diagnosis in Rocket Control System Driven By Digital Twins

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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 101400,China)

机构地区:[1]航天工程大学,北京101400

出  处:《计算机测量与控制》2022年第10期1-6,16,共7页Computer Measurement &Control

基  金:国家自然科学基金(12003078)。

摘  要:在第四次工业革命中,智能制造成为各国工业发展的重点方向,数字孪生技术作为一项新兴技术,能够有效实现物理信息的融合;将其应用于火箭控制系统的故障诊断和健康管理,能够进一步提高故障诊断的事前准确性,提升火箭发射的可靠性;文章对数字孪生技术在航天领域的研究现状进行归纳整理;首先梳理了NASA的数字孪生目标,国内领域按照设计、生产、支持服务阶段对数字孪生应用进行分类;其次,按照故障树、专家系统、神经网络、数据驱动的方法阐述控制系统故障诊断的研究现状;在介绍数字孪生驱动的健康管理方法的基础上,提出数字孪生驱动的火箭控制系统的故障诊断方法;详细介绍其基本组成框架,分析关键技术及应用难点,并提出数字孪生健康管理平台的基本流程;该方法预期实现火箭控制系统的事前诊断和维修策略的制定。In the fourth industrial revolution,intelligent manufacturing has become the key direction of industrial development,digital twin technology which is an emerging technology can effectively achieve physical information fusion,which is applied to the fault diagnosis and prognostics health management(PHM)of the rocket control system and can further improve the prior accuracy of the fault diagnosis,and the reliability of rocket launch is improved;The research status of the digital twin technology in the aerospace sector is summarized in this paper;Firstly,the NASA s digital twin objectives are combed,the digital twin application is classified by the stages of design,production and support service in the domestic field;Secondly,according to the methods of fault tree,expert system,neural network and data-driven,the research status of the fault diagnosis of the control system is explained;On the basis of introducing the PHM method of digital twin-driven,the fault diagnosis of rocket control system driven by digital twin is proposed;Finally,the basic composition framework is introduced in detail,the key technologies and application difficulties are analyzed,and the basic processes for digital twin PHM platform are proposed,which is expected to achieve the pre-emergency diagnosis and maintenance strategy of the rocket control system.

关 键 词:数字孪生 火箭控制系统 故障诊断 智能制造 健康管理 

分 类 号:TP306.3[自动化与计算机技术—计算机系统结构]

 

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