航空发动机燃油系统执行机构及其传感器故障诊断

姜洁; 李秋红; 张高钱; 居新星

doi:10.13224/j.cnki.jasp.2015.06.031

航空发动机燃油系统执行机构及其传感器故障诊断

doi: 10.13224/j.cnki.jasp.2015.06.031

南京航空航天大学能源与动力学院江苏省航空动力系统重点实验室, 南京 210016

基金项目:

航空科学基金(20110652003)

江苏高校优势学科建设工程资助项目

中央高校基本科研业务专项资金(NN2012033)

详细信息

作者简介:
姜洁(1990-),女,江苏南通人,硕士生,主要研究方向为航空发动机故障诊断.

中图分类号: V233.7
计量
- 文章访问数: 914
- HTML浏览量: 3
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- 被引次数: 0
出版历程
- 收稿日期: 2013-12-18
- 刊出日期: 2015-06-28

Fault diagnosis for actuator and its sensor of aero-engine fuel system

Jiangsu Province Key Laboratory of Aerospace Power System, College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

摘要

摘要: 提出了基于执行机构模型和航空发动机逆模型的执行机构及其传感器单一故障诊断和定位方法.基于执行机构小闭环结构建立了3阶执行机构传递函数模型.基于两个并联的BP(back propagation)神经网络,建立了航空发动机稳态逆模块和动态补偿模块,形成航空发动机逆模型,以实现基于航空发动机输出的燃油流量估计.以执行机构模型输出和传感器输出之间的偏差为依据进行故障判别,以航空发动机逆模型输出和传感器输出偏差为依据对故障进行定位.以某型航空发动机及其燃油系统执行机构模型为对象进行的仿真,结果表明,该诊断系统可在航空发动机稳态、动态情况下准确地诊断出幅值在1.6%以上的执行机构及其传感器故障并进行定位,验证了所提出故障诊断方法的有效性.
- 航空发动机 /
- 执行机构 /
- 传感器 /
- 故障诊断 /
- 航空发动机逆模型
Abstract: A single fault diagnosis and location method of aero-engine actuator and its sensor was proposed. The method was based on actuator model and aero-engine inverse model. A three-order transfer function model of actuator was established according to its closed-loop construction. The aero-engine inverse model was built based on two parallel BP (back propagation) neural network including a steady inverse module and a dynamic compensation module, so the fuel mass flow estimation can be achieved based on the outputs of aero-engine. Fault diagnosis according to the deviation between the actuator model output and the sensor output was adopted. Fault location according to the deviation between the aero-engine inverse model output and the sensor output was used. The simulation results on an aero-engine and its fuel system actuator models show that the fault diagnosis system can diagnose amplitude in more than 1.6% of actuator and its sensor fault and locate it accurately at the steady and dynamic states of aero-engine, which verifies the effectiveness of the proposed method.
- aero-engine /
- actuator /
- sensor /
- fault diagnosis /
- aero-engine inverse model

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参考文献(18)

[1]	黄向华.航空发动机智能容错数字控制[J].应用基础与工程科学学报,2005,13(4):366-372. HUANG Xianghua.Intelligent fault-tolerant digital control systems of aero-engines[J].Journal of Basic Science and Engineering,2005,13(4):366-372.(in Chinese)
[2]	Chen R H,Speyer J L.Sensor and actuator fault reconstruction[J].Journal of Guidance,Control and Dynamics,2004,27(2):186-196.
[3]	黄向华,孙健国.发动机数控系统诊断技术的发展[J].航空动力学报,1997,12(4):416-421. HUANG Xianghua,SUN Jianguo.Development of failure diagnosis techniques in engine digital control systems[J].Journal of Aerospace Power,1997,12(4):416-421.(in Chinese)
[4]	Kobayashi T,Simon D L.A hybrid neural network-genetic algorithm technique for aircraft engine performance diagnostics[R].AIAA-2001-3763,2001.
[5]	Zedda M,Singh R.Gas turbine engine and sensor fault diagnosis using optimization techniques[R].AIAA 99-31290,1999.
[6]	DUAN Shujing,LI Qiuhong,ZHAO Yongping.Fault diagnosis for sensor of aero-engine based on improved least squares support vector regression[C]//Proceeding of 8th International Conference on Fuzzy System and Knowledge Discovery.Shanghai:IEEE,2011:1962-1966.
[7]	ZHAO Yongping,SUN Jianguo,WANG Jiankang.Online parsimonious least squares support vector regression and its application[J].Transactions of Nanjing University of Aeronautics and Astronautics,2009,26(4):280-287.
[8]	鲁峰,黄金泉,陈煜,等.基于SPSO-SVR的融合航空发动机传感器故障诊断[J].航空动力学报,2009,24(8):1856-1865. LU Feng,HUANG Jinquan,CHEN Yu,et al.Research on sensor fault diagnosis of aero-engine based on data fusion of SPSO-SVR[J].Journal of Aerospace Power,2009,24(8):1856-1865.(in Chinese)
[9]	袁春飞,姚华.传感器故障下的航空发动机机载自适应模型重构[J].航空动力学报,2006,21(1):195-200. YUAN Chunfei,YAO Hua.Aero-engine adaptive model re-construction under sensor failure[J].Journal of Aerospace Power,2006,21(1):195-200.(in Chinese)
[10]	HUANG Xianghua.Sensor fault diagnosis and reconstruction of engine control system based on auto-associative neural network[J].Chinese Journal of Aeronautics,2004,17(1):23-27.
[11]	韩冰洁,缑林峰.基于卡尔曼滤波器组的执行机构故障诊断方法[J].计算机仿真,2013,30(2):93-96. HAN Bingjie,GOU Linfeng.Actuator fault diagnosis based on Kalman filter bank[J].Computer Simulation,2013,30(2):93-96.(in Chinese)
[12]	蒋平国,姚华,孙健国.航空发动机数控系统执行机构回路故障诊断和容错控制方法[J].航空动力学报,2005,20(2):282-286. JIANG Pingguo,YAO Hua,SUN Jianguo.Method of fault diagnosis and fault-tolerant control for actuator loop in aero-engine digital control system[J].Journal of Aerospace Power,2005,20(2):282-286.(in Chinese)
[13]	TANG Liang,ZHANG Xiaodong,de Castro J.Diagnosis of engine sensor,actuator and component faults using a bank of adaptive nonlinear estimators[C]//Proceedings of 2011 IEEE Aerospace Conference.Bigsky,Montana,USA:IEEE,2011:1-11.
[14]	尹俊,郭迎清.神经网络和卡尔曼滤波器融合的航空发动机传感器故障诊断[J].计算机测量与控制,2011,19(8):1936-1942. YIN Jun,GUO Yingqing.Neural network and Kalman filter based fusion fault diagnosis for aero-engine sensor[J].Computer Measurement and Control,2011,19(8):1936-1942.(in Chinese)
[15]	刘艳春,杨德辉,刘艳丽,等.基于神经网络的某型飞机发动机故障诊断研究[J].电子设计工程,2012,20(11):89-92. LIU Yanchun,YANG Dehui,LIU Yanli,et al.Failure diagnose research for the plane engine of basic neural network[J].Electronic Design Engineering,2012,20(11):89-92.(in Chinese)
[16]	LIN Jiewei,ZHANG Junhong,ZHANG Guichang,et al.Aero-engine blade fatigue analysis based on nonlinear continuum damage model using neural networks[J].Chinese Journal of Mechanical Engineering,2012,25(2):338-345.
[17]	Tayarani-Bathaie S S,Vanini Z N S,Khorasani K.Dynamic neural network-based fault diagnosis of gas turbine engines[J].Neurocomputing,2014,125(11):153-165.
[18]	程月华,姜斌,杨明凯,等.应用自组织模糊神经网络估计卫星姿态系统执行机构故障[J].应用科技学报,2010,28(1):72-76. CHENG Yuehua,JIANG Bin,YANG Mingkai,et al.Self-organizing fuzzy neural network-based actuator fault estimation for satellite attitude systems[J].Journal of Applied Sciences,2010,28(1):72-76.(in Chinese)