航空发动机在线综合诊断结构设计及仿真验证
收稿日期: 2013-04-09
修回日期: 2013-05-13
网络出版日期: 2013-05-20
基金资助
国家级项目
Design and Simulation Validation of an Integrated On-board Aircraft Engine Diagnostic Architecture
Received date: 2013-04-09
Revised date: 2013-05-13
Online published: 2013-05-20
Supported by
National Level Project
随着机载航空电子设备的快速发展，使得传统地面系统承担的发动机诊断任务可以在线实现。实时数据的使用，可以在线监测发动机性能退化，减少故障检测和隔离的潜伏期，增加间歇性故障的检测率。为此，提出并设计了一种用于航空发动机气路故障检测和隔离、健康监测及参数估计的在线综合诊断结构。基于xPC Target 原理搭建了硬件实时仿真平台，对该结构进行了仿真验证。仿真结果表明，该结构中的机载自适应模型对发动机健康参数、可测参数和不可测参数的估计误差在0.5%以内；气路故障诊断系统采用实时数据，可以更早地检测和隔离包含间歇性故障在内的各种气路故障。
张书刚 , 郭迎清 , 冯健朋 . 航空发动机在线综合诊断结构设计及仿真验证[J]. 航空学报, 2014 , 35(2) : 381 -390 . DOI: 10.7527/S1000-6893.2013.0255
Continuing advances in avionics are enabling the migration of portions of the conventional ground-based functionality on-board. The availability of real-time data can monitor the engine performance deterioration on-board, decrease fault detection and isolation latency and increase detection probability of intermittent engine faults. This paper presents a design of an on-board diagnostic architecture for aircraft engine gas path fault detection and isolation, health trend monitoring and parameter estimation. A hardware simulation platform which runs in real time is developed based on xPC Target to evaluate the performance of the structure. Simulation results show that estimation errors by the on-board adaptive model of the structure are below 0.5% for the engine health, including both measured parameters and unmeasured parameters. The gas path fault diagnostic system can detect and isolate all kinds of gas path faults including intermittent faults earlier with real-time data.
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