DocumentCode :
2535148
Title :
Fault-tolerant estimation
Author :
Mutuel, Laurence H. ; Speyer, Jason L.
Author_Institution :
Dept. of Mech. & Aerosp. Eng., California Univ., Los Angeles, CA, USA
Volume :
6
fYear :
2000
fDate :
2000
Firstpage :
3718
Abstract :
A fault-tolerant estimator is obtained from fusing the concept of fault detection with estimation. Two possible architectures are evaluated. At the center of the fault-tolerant estimation procedure is a bank of filters computing local state estimates, a residual screening scheme to isolate corrupted estimates and a method of blending untainted ones into a global minimum variance estimate, free of the effects of either sensor, plant or actuator fault. Previous voting schemes relied on statistical tests whereas the fault-tolerant estimation is based on a deterministic test on the local filter residuals. Finally, contrary to most fault-tolerant structures or multiple model approaches, estimating the fault is not necessary to ensure the quality of the global estimate
Keywords :
fault location; fault tolerance; filtering theory; state estimation; statistical analysis; corrupted estimate isolation; fault detection; fault-tolerant estimation; fault-tolerant structures; filters; global minimum variance estimate; local filter residuals; local state estimates; multiple model approaches; residual screening scheme; statistical tests; untainted estimate blending; voting schemes; Actuators; Fault detection; Fault diagnosis; Fault tolerance; Filtering theory; Filters; Riccati equations; State estimation; Testing; Voting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
ISSN :
0743-1619
Print_ISBN :
0-7803-5519-9
Type :
conf
DOI :
10.1109/ACC.2000.876914
Filename :
876914
Link To Document :
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