Internal fault diagnosis of aircraft engine fuel metering unit based on artificial immune algorithm
Wang Liwen1,2, Zhang Lu1
COMPUTER MODELLING & NEW TECHNOLOGIES 2013 17(5D) 24-30
1 School of Mechanical Engineering, Tianjin University, Tianjin, China
2 Ground Support Equipments Research Base, Civil Aviation University of China, Tianjin, China
This paper present an aircraft engine fuel metering unit internal fault diagnosis fault diagnosis method based on artificial immune algorithm. First, the overall structure and basic working principle of FMU are introduced. Then, the model of the key parts of FMU which include Electro-hydraulic servo valves (EHSV), actuator, sine-cosine revolver model and fuel flow valve model are built. With the parts model, the overall model of the FMU can be built. Then the typical faults like fuel leakage and some other faults are simulated with FMU model. Then, the fault diagnosis method based on artificial immune algorithm is introduced. At last, the FMU faults such as cylinder wall attached to the foreign body fault and resolver output circuit faults are detected with artificial immune algorithm. The diagnosis results show that the fault diagnosis method based on artificial immune algorithm is effective to FMU components failure.