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Effective fault diagnosis based on strong tracking UKF.

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Bibliographic Details
Title: Effective fault diagnosis based on strong tracking UKF.
Authors: Han, Pengxin, Mu, Rongjun, Cui, Naigang
Source: Aircraft Engineering & Aerospace Technology. 2011, Vol. 83 Issue 5, p275-282. 8p.
Subjects: Kalman filtering, Chi-squared test, Navigation, Rocket engines, Flight testing
Abstract: Purpose – The purpose of this paper is to address the flaws of traditional methods and fulfil the special fault-tolerant re-entry navigation requirements of reusable boost vehicle (RBV). Design/methodology/approach – A kind of improved estimation method based on strong tracking unscented Kalman filter (STUKF) is put forward. According to the fact that the traditional state χ2-test-based fault diagnosis method is incompetent to detect the signal point small jerks and slowly varying fault in the measurement, a kind of original fault diagnosis technology based on STUKF is used to check the working states of navigation sensors. Findings – The comparisons with χ2-test method under typical failure distributions validate the perfect state tracking and fault diagnosis performances of this improved method. Practical implications – This kind of state estimation and fault diagnosis method could be used in the navigation and guidance systems for many kinds of aeronautical and astronautical vehicles. Originality/value – A kind of novel strong tracking state estimation filter is used, and a kind of very effective fault diagnosis criterion is put forward for the navigation of RBV. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:Purpose – The purpose of this paper is to address the flaws of traditional methods and fulfil the special fault-tolerant re-entry navigation requirements of reusable boost vehicle (RBV). Design/methodology/approach – A kind of improved estimation method based on strong tracking unscented Kalman filter (STUKF) is put forward. According to the fact that the traditional state χ2-test-based fault diagnosis method is incompetent to detect the signal point small jerks and slowly varying fault in the measurement, a kind of original fault diagnosis technology based on STUKF is used to check the working states of navigation sensors. Findings – The comparisons with χ2-test method under typical failure distributions validate the perfect state tracking and fault diagnosis performances of this improved method. Practical implications – This kind of state estimation and fault diagnosis method could be used in the navigation and guidance systems for many kinds of aeronautical and astronautical vehicles. Originality/value – A kind of novel strong tracking state estimation filter is used, and a kind of very effective fault diagnosis criterion is put forward for the navigation of RBV. [ABSTRACT FROM AUTHOR]
ISSN:17488842
DOI:10.1108/00022661111159889