中文摘要：

为了提高航空发动机控制系统的可靠性,针对航空发动机燃油调节执行机构回路,提出了一种基于执行机构数学模型及发动机燃油逆映射模型的故障诊断方法,以实现对执行机构自身故障及其线性可变差动变压器（LVDT）位移传感器故障的检测和隔离。基于非线性回归方法极端学习机（ELM）算法建立了发动机燃油逆映射模型,保证了燃油估计的精度和实时性。为了验证该方法的可行性和有效性,以涡扇发动机主燃油调节执行机构为研究对象,在半物理仿真试验平台上进行了故障诊断的半物理仿真试验。结果表明,该故障诊断方法能快速准确地检测并区分出幅值在2%以上的执行机构故障和LVDT传感器故障。

英文摘要：

Aiming at improving the reliability of control system for aero-engine,a fault diagnosis method based on the actuator mathematic model and the inverse mapping fuel model was proposed to detect and isolate the fault of actuator and Linear variable differential transformer（LVDT） sensor in the fuel actuator closed-loop.The aero-engine fuel inverse mapping model was built using extreme learning machine（ELM） so as to estimate the fuel precisely in real time. Moreover,In order to verify the effectiveness and practicability of the method proposed,semi-physical simulation experiments on the fault diagnosis for fuel regulator of some turbofan engine were carried out on a semi-physical simulation platform. The experiment results show that the fault diagnosis method can detect and distinguish actuator fault and LVDT sensor fault with amplitude more than 2% accurately and quickly.