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관성센서의 이중 고장을 고려한 고장 검출 및 분리 : FDI considering Two Faults of Inertial Sensors

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dc.contributor.author김광훈-
dc.contributor.author박찬국-
dc.contributor.author이장규-
dc.date.accessioned2010-08-24T03:52:20Z-
dc.date.available2010-08-24T03:52:20Z-
dc.date.issued2004-01-
dc.identifier.citationJournal of Contro, Automation, and Systems Engineering, Vol. 10, No. 1, pp. 1-9en
dc.identifier.issn1225-9845-
dc.identifier.urihttps://hdl.handle.net/10371/69246-
dc.description.abstractlnertial navigation system with hardware redundancy must use FDI(Fault Detection and Isolation) method to remove the influence of faulty sensors. Until now, several FDI methods such as PSA(Parity Space Approach),
GLT(Generalized Likelihood ratio Test) and OPT(Optimal Parity vector Test) method are generally used. However,
because these FDI methods only consider the situation that the system has one faulty sensor, these methods cannot be
directly adapted for the system with two faulty sensors. To solve this problem, in this paper, PSA method is analyzed
and based on this result, new FDI method called EPSA is proposed to consider a detection and an isolation of two
faulty sensors in inertial navigation system.
en
dc.description.sponsorshipADD/ACRCen
dc.language.isokoen
dc.publisher제어로봇시스템학회en
dc.subjectFDIen
dc.subjectINSen
dc.subjectsensor faulten
dc.subjecttwo fauItsen
dc.subjecthardware redundancyen
dc.title관성센서의 이중 고장을 고려한 고장 검출 및 분리en
dc.title.alternativeFDI considering Two Faults of Inertial Sensorsen
dc.typeArticleen
dc.contributor.AlternativeAuthorKim, Kwang Hoon-
dc.contributor.AlternativeAuthorPark, Chan Gook-
dc.contributor.AlternativeAuthorLee, Jang Gyu-
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