Identification of multiple faults of the aircraft engine digital control system

A method for multiple faults identification of aircraft engine digital control system based on fuzzy logic was presented. First of all, a nonlinear model of the digital control system of some turbo-jet engine was built up with introduction of Takagi-Sugeno (T-S) fuzzy model, and then full-decoupling parity equation was applied to detect and isolate the multiple faults, in combination with Kalman filter in identifying the fault parameters of sensors and actuators. The simulation results show that this method can effectively detect and isolate the multiple faults. Also, it can precisely identify the parameters of the faults.