系统仿真学报 ›› 2018, Vol. 30 ›› Issue (10): 3923-3932.doi: 10.16182/j.issn1004731x.joss.201810039

• 仿真应用工程 • 上一篇    下一篇

某型涡扇发动机燃调故障联合仿真

韦祥1, 李本威1, 杨欣毅1, 王星博2   

  1. 1. 海军航空工程学院飞行器工程系,山东 烟台 264001;
    2. 96235部队,山东 青岛 266000
  • 收稿日期:2016-09-08 修回日期:2016-12-19 出版日期:2018-10-10 发布日期:2019-01-04
  • 作者简介:韦祥(1990-),男,山西原平,博士生,研究方向为航空发动机状态监控与故障诊断;李本威(1962-),男,山东威海,博士,教授,研究方向为航空发动机状态监控与健康管理;杨欣毅(1978-),男,辽宁葫芦岛,博士,讲师,研究方向为航空发动机状态监控。

Fault Co-simulation of Fuel Regulator in a Certain Type of Turbofan Engine

Wei Xiang1, Li Benwei1, Yang Xinyi1, Wang Xingbo2   

  1. 1. Aircraft Engineering, Naval Aeronautics and Astronautics University, Yantai 264001, China;
    2. 96235th Unit of PLA, Qingdao 266000, China
  • Received:2016-09-08 Revised:2016-12-19 Online:2018-10-10 Published:2019-01-04

摘要: 针对某型航空发动机燃油调节器系统故障诊断的问题,提出一种主燃油控制系统AMEsim模型和发动机动态Simulink模型联合仿真的方法。建立了主燃油系统AMEsim模型和发动机动态Simulink模型,并通过试验和发动机实测参数验证了模型的有效性;通过AMEsim软件和Simulink平台的接口,建立了联合仿真模型;通过联合仿真模型对燃油调节器典型故障和排故措施进行了仿真。研究结果表明,联合仿真的方法可以将燃油调节器故障诊断转化为发动机监控参数模式识别的问题,该方法不仅为燃油调节器的故障诊断提供了途径,为故障排除提供了定量的解决方案,也为发动机视情维修提供依据。

关键词: 航空发动机, 燃油调节器, 故障诊断, 联合仿真

Abstract: A co-simulation method for fuel regulator fault diagnosis in a certain type of turbofan engine is performed, which consists of AMEsim Model of main fuel control system and Simulink Model of aero-engine. The AMEsim Model of main fuel system and Simulink Model of aero-engine are built and their accuracy is validated by experiments and the engine’s operating data, respectively. The co-simulation model based on the main fuel control system and the aero-engine is proposed through the interface of AMEsim and Simulink software. The typical faults and obviation methods are simulated by the co-simulation model. The research shows that the problem of fuel regulator fault diagnosis can turn into pattern recognition of feature parameters in aero-engine field. The method provides not only troubleshooting solutions and fault diagnosis for fuel regulator system, but also supports theory and sample for establishing standards of engine’s condition based maintenance.

Key words: aero-engine, fuel regulator, fault diagnosis, co-simulation

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