Title :
The detection of faults in navigation systems: a frequency domain approach
Author :
Scheding, S. ; Nebot, E. ; Durrant-Whyte, H.
Author_Institution :
Dept. of Mech. Eng., Sydney Univ., NSW, Australia
Abstract :
This paper provides an analysis of Kalman filter based systems with respect to fault detection. By using frequency domain techniques, a metric is developed that describes the detectability of a fault by showing how a fault is transmitted to the filter innovations (if at all). Through experiment, it is shown that redundancy must be employed for guaranteed detection of faults, and that unlike sensors should be used. Further, it is shown that modelling errors can be treated within the same framework as “hard” actuator or sensor faults
Keywords :
Kalman filters; computerised navigation; fault diagnosis; filtering theory; frequency-domain analysis; mobile robots; redundancy; Kalman filter based systems; actuator faults; fault detectability; fault detection; frequency domain approach; modelling errors; navigation systems; redundancy; sensor faults; Equations; Fault detection; Fault diagnosis; Filters; Frequency domain analysis; Navigation; Remotely operated vehicles; State-space methods; Technological innovation; Vehicle driving;
Conference_Titel :
Robotics and Automation, 1998. Proceedings. 1998 IEEE International Conference on
Conference_Location :
Leuven
Print_ISBN :
0-7803-4300-X
DOI :
10.1109/ROBOT.1998.680653