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基于卡尔曼滤波器的主燃油计量装置故障诊断
引用本文:芦海洋,王 曦.基于卡尔曼滤波器的主燃油计量装置故障诊断[J].航空发动机,2017,43(2):17-22.
作者姓名:芦海洋  王 曦
作者单位:北京航空航天大学能源与动力工程学院;先进航空发动机协同创新中心,北京100191
摘    要:为了建立主燃油计量电液执行机构(EHA)的故障诊断算法,分析了主燃油计量液压机械控制装置的工作原理,提出了1种建立主燃油计量线性变参数(LPV)模型的方法,设计并得到基于离散卡尔曼滤波器的主燃油计量电液执行机构位移输出的残差生成器。仿真结果表明:该残差生成器具有对故障敏感而对噪声和建模误差不敏感、对残差的动态响应快,幅值变化较大的特点,有效降低故障误报警率和漏报警率。

关 键 词:主燃油计量装置  故障诊断  卡尔曼滤波器  执行机构  线性模型

Fault Diagnosis of Main Fuel Metering Device Based on Kalman Filter
Authors:LU Hai-yang  WANG Xi
Abstract:In order to establish the fault diagnosis algorithm of the main fuel metering Electro Hydraulic Actuator (EHA),the working principle of the main fuel metering device was analyzed,a method of establishing the main fuel metering Linear-Parameter-Varying (LPV) model was presented and finally residual generator main fuel metering Electro Hydraulic Actuator's displacement output was designed based on discrete Kalman filter.Simulation results show that the residual generator is sensitive to fault and insensitive to noise and modeling errors,the dynamic response of the residual is fast,the change of the amplitude of the residual error is large,the false alarm rate and missing alarm rate are reduced effectively.
Keywords:main fuel metering device  fault diagnosis  Kalman filter    actuator  linear model
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