航空学报 > 2023, Vol. 44 Issue (10): 27519-027519   doi: 10.7527/S1000-6893.2022.27519

航空发动机多电分布式控制系统故障诊断与容错关键技术综述

赵万里, 郭迎清(), 徐柯杰, 王灿森, 应豪杰, 陶欣昕   

  1. 西北工业大学 动力与能源学院,西安  710129
  • 收稿日期:2022-05-25 修回日期:2022-07-11 接受日期:2022-09-29 出版日期:2023-05-25 发布日期:2022-10-14
  • 通讯作者: 郭迎清 E-mail:yqguo@nwpu.edu.cn
  • 基金资助:
    国家科技重大专项(J2019-V-0003-0094)

Review of key technologies for fault diagnosis and accommodation for multi⁃electric distributed engine control system

Wanli ZHAO, Yingqing GUO(), Kejie XU, Cansen WANG, Haojie YING, Xinxin TAO   

  1. School of Power and Energy,Northwestern Polytechnical University,Xi’an  710129,China
  • Received:2022-05-25 Revised:2022-07-11 Accepted:2022-09-29 Online:2023-05-25 Published:2022-10-14
  • Contact: Yingqing GUO E-mail:yqguo@nwpu.edu.cn
  • Supported by:
    National Science and Technology Major Project of China(J2019-V-0003-0094)

摘要:

针对未来航空发动机需求,结合多电分布式控制特点和优势,基于先进算法,开展了多电分布式控制系统故障诊断与容错关键技术研究。首先从航空发动机分布式控制系统、多电发动机、故障诊断与容错控制方法和硬件在环仿真平台搭建4个方面对国内外航空发动机多电分布式控制系统故障诊断与容错技术进行梳理,总结了多电分布式控制系统故障诊断与容错的关键问题;之后提出了多电分布式控制系统的故障诊断与容错架构设计、基于模型的故障诊断与容错方法、双主动冗余电机控制系统故障诊断与容错方案、基于深度学习的电力作动器故障诊断与容错方案和硬件在环仿真平台搭建的关键技术;最后对航空发动机多电分布式控制系统故障诊断与容错未来的发展趋势进行展望。

关键词: 航空发动机, 多电分布式控制系统, 故障诊断与容错, 容错控制, 硬件在环

Abstract:

In view of the demand for future aero-engines,combined with the characteristics and advantages of multi electric distributed control,the key technologies of fault diagnosis and accommodation of multi-electric distributed engine control system are studied based on advanced algorithms. Firstly,this paper summarizes the fault diagnosis and accommodation technology of multi-electric distributed engine control system at home and abroad from four aspects:distributed engine control system,more electric engine,fault diagnosis and fault-tolerant control methods and hardware in the loop simulation platform,and points out the key problems of fault diagnosis and accommodation of multi-electric distributed engine control system at present. Then the key technologies are proposed,which are the design of fault diagnosis and accommodation architecture of multi-electric distributed engine control system,the model-based fault diagnosis and fault-tolerant control method,the fault diagnosis and accommodation scheme of dual active redundant motor control system,the electro-mechanical actuator fault diagnosis and accommodation scheme based on deep learning,and the construction of hardware in the loop simulation platform. Finally,the future development trend of fault diagnosis and fault tolerance of aeroengine multi electric distributed control system is prospected.

Key words: aero-engine, multi-electric distributed engine control system, fault diagnosis and accommodation, fault-tolerant control, hardware-in-the-loop

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