摘要
为了对航空发动机传感器故障作出准确快速的诊断,在Simulink中设计了基于卡尔曼滤波器的残差检验的故障诊断模块,实现发动机传感器恒偏差、恒增益、卡死故障等硬故障的诊断。针对传统卡尔曼滤波器残差检验法检测缓变故障时存在较大延时的缺点,采用改进卡尔曼滤波器的残差检验法来检测故障,并与传统卡尔曼滤波器法进行比较。仿真结果表明,传统卡尔曼滤波器的残差检验法能有效地诊断航空发动机传感器的几种典型硬故障,但对于缓变故障却不敏感。改进卡尔曼滤波器的残差检验法能在一定程度上加快检测速度,取得较好的效果。
In order to diagnose aero￣engine sensors’ faults accurately and quickly,the engine sensors’ hard fault di￣agnosis of constant deviation,constant gain,stuck are achieved with the residual test fault diagnosis module based on Kalman filter. The module is designed in Simulink. There is a big delay in detection of soft fault with traditional re￣sidual test method based on Kalman filter,so the improved method is adopted to detect fault and compared with the traditional method. Simulation result show that the traditional residual test method based on Kalman filter can effec￣tively diagnose several typical aero￣engine sensors’ hard faults,but it is insensitive to soft fault detection. The im￣proved method can accelerate the speed of detection and achieve a good performance.
出处
《传感技术学报》
CAS
CSCD
北大核心
2014年第10期1315-1320,共6页
Chinese Journal of Sensors and Actuators
基金
国家科技支撑计划重点项目(2015BAK25B04)
