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
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