数字孪生驱动的火箭控制系统故障诊断研究综述
2022,30(10):1-1
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；本文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
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
Overview of Research on Fault Diagnosis Journal of Rocket Control System Driven By Digital Twins
Abstract：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; it is applied to the fault diagnosis and health management of rocket control systems and can further improve the prior accuracy of the fault diagnosis, enhance the reliability of rocket launch; this paper summarizes the research status of digital twin technology in the aerospace sector; firstly combing NASA's digital twin objectives, the domestic field which is based on design, production and support service to classify the digital twin application; secondly, according to the fault tree, expert system, neural network, data-driven method to explain the research status of the fault diagnosis of the system; on the basis of introducing the health management method of digital twin-driven, fault diagnosis of rocket control system driven by digital twin is proposed; detailed introduction of its basic composition framework, analyze key technology and application difficulties and propose basic processes for digital twin health management platforms; this method is expected to achieve the pre-emergency diagnosis and maintenance strategy of rocket control system
Key words：digital twin; rocket control system; fault diagnosis; smart manufacturing; PHM
收稿日期：2022-03-28
基金项目：国家自然科学基金(12003078)
