An FDIA approach for aircraft based on the Kalman filter

The fault diagnosis, isolation and accommodation techniques (FDIA) play an important role in the advance engine control system, and also can highly improve the reliability of the whole control system. In this paper, we build the engine realtime dynamic linear model in the framework of gain scheduling. Meanwhile, a fast recursive Kalman algorithm has been proposed to build the Kalman filter in order to raise the estimation computation speed of the dynamic system. Finally, this algorithm has been applied to an aeroengine, and experimental result demonstrates the effectiveness of the proposed design approach.