Journal
EUROPEAN JOURNAL OF CONTROL
Volume 12, Issue 4, Pages 437-449Publisher
ELSEVIER
DOI: 10.3166/ejc.12.437-449
Keywords
fault detection and isolation; accommodation; inertial sensors; parity vector; navigation accuracy
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This paper discusses fault detection, isolation, and accommodation (FDIA) problem of redundant sensors in inertial navigation systems (INS). The averaged parity vector (APV) method is suggested to improve the probability of correct isolation and reduce the numbers of false alarms and wrong isolation. The proposed method employs a new, accommodation threshold based on the error covariance of an estimated variable, which is related to the navigation accuracy of INS. This accommodation threshold is also used as the fault detection threshold, so the A P V algorithm detects only non-tolerable faults. Given a conditional probability of correct isolation, the minimum number of sample measurements is given with respect to fault size. Computer simulation and experimental results verify the validity of the proposed method.
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