Title :
Extended Multiple Model Adaptive Estimation for the Detection of Sensor and Actuator Faults
Author :
Rupp, D. ; Ducard, G. ; Shafai, E. ; Geering, H.P.
Author_Institution :
Measurement and Control Laboratory, Swiss Federal Institute of Technology, Zurich, 8092, Switzerland (corresponding author to provide phone: +41 44 632 24 53; fax: +41 44 632 11 39; e-mail: rupp@kiimrt.mavt.ethz.ch).
Abstract :
A combination of the multiple model adaptive estimation method (MMAE) with an extended Kalman filter (EKF) is considered. The ability of the MMAE method to detect faults based on a predefined hypothesis and the parameter-estimating ability of an EKF results in a very efficient fault detection approach. This so-called extended multiple model adaptive estimation method (EMMAE) has been investigated on a nonlinear model of an aircraft. The results show that it is a very capable method to detect faults of various types.
Keywords :
Actuators; Adaptive estimation; Aircraft; Control systems; Fault detection; Filtering theory; Filters; History; Sensor phenomena and characterization; Sensor systems;
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
DOI :
10.1109/CDC.2005.1582634
