航空发动机双重传感器故障诊断逻辑研究

针对航空发动机控制系统的双重传感器故障,提出了一种采用双路容错设计的卡尔曼滤波器故障检测隔离系统.故障检测隔离系统由一系列卡尔曼滤波器组成,每个滤波器都假定2路传感器故障,而以故障支路外的测量值作为输入量.当双重传感器故障发生时,只有不包含故障传感器信息的滤波器保持较低的估计残差,其他滤波器都会产生较大的估计残差,如此双重传感器故障便可以被隔离.利用滤波器组估计残差的特征,进一步设计合理的运算逻辑,系统就可以同时对传感器单一故障进行检测和隔离.为了验证故障诊断系统的有效性,在发动机慢车状态分别对传感器发生双重故障和单一故障的情况进行仿真.仿真结果表明:故障诊断系统能够准确有效地对传感器双重故障和单一故障进行检测和隔离.

Research on aeroengine's double sensor fault diagnosis logic

A fault diagnosis system which utilized a bank of Kalman filters was developed for aeroengine sensor double fault detection and isolation.This approach used multiple Kalman filters,each of which was designed based on a specific hypothesis that fault the has occurred in two of the sensors.In addition,the measurements of the normal sensors were used as the input of the Kalman filter.In the event that a double fault does occur,all filters except the one using the correct hypothesis would produce large estimation errors,from which a specific fault is isolated.Furthermore,if the proper Boolean calculation is designed according to the feature of the estimation errors,the fault diagnosis system can also make detection and isolation to the single sensor fault.In order to validate the diagnosis system,a nonlinear engine simulation for both double and single sensor faults at cruise operating condition was conducted.The results indicate that the proposed fault diagnosis system is promising for reliable detection and isolation of aeroengine sensor fault.