Title :
An FDIA approach for aircraft based on the Kalman filter
Author :
Jiang, Caihong ; Wang, Xi ; He, Ai ; Kong, Xiangxin
Author_Institution :
Sch. of Jet Propulsion, Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
Abstract :
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.
Keywords :
Kalman filters; aerospace engines; aircraft; time-varying systems; FDIA approach; Kalman filter; accommodation technique; advance engine control system; aeroengine; aircraft; engine realtime dynamic linear model; fault diagnosis technique; gain scheduling; isolation technique; recursive Kalman algorithm; Aircraft propulsion; Atmospheric modeling; Dynamic scheduling; Engines; Kalman filters; Mathematical model; Steady-state; Analytical redundancy; Fault detection; Kalman filter; isolation and accommodation;
Conference_Titel :
Information Theory and Information Security (ICITIS), 2010 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6942-0
DOI :
10.1109/ICITIS.2010.5689561
