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Analysis of Non-Linear Attitude Observers for Time-Varying Reference Measurements

dc.contributor.authorTrumpf, Jochen
dc.contributor.authorMahony, Robert
dc.contributor.authorHamel, Tarek
dc.contributor.authorLageman, Christian
dc.date.accessioned2015-12-10T23:33:24Z
dc.date.issued2012
dc.date.updated2016-02-24T08:52:31Z
dc.description.abstractThis paper provides a comprehensive stability analysis of a suite of nonlinear attitude observers that have been developed over the last few years. The observers considered are based on vectorial measurements of an a priori known reference direction. By treating the reference direction and the measurement in the same analysis framework, and allowing time-variation of either, we are able to define general persistency of excitation criteria that incorporate and generalize convergence criteria used in prior work. A key outcome is conditions that ensure almost global asymptotic and local exponential stability of attitude observers based on a single vector measurement as long as the excitation conditions are met on the reference and system trajectory. The approach generalizes stability results provided in prior work, based on rank conditions, that required at least two or more vector measurements.
dc.identifier.issn0018-9286
dc.identifier.urihttp://hdl.handle.net/1885/69290
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.sourceIEEE Transactions on Automatic Control
dc.subjectKeywords: Convergence criterion; Excitation conditions; Inertial measurement unit; Local exponential stability; multiplicative extended Kalman filter (MEKF); Persistency of excitation; Rank condition; Single vectors; Stability analysis; Stability results; System tr Inertial measurement unit (IMU); multiplicative extended Kalman filter (MEKF)
dc.titleAnalysis of Non-Linear Attitude Observers for Time-Varying Reference Measurements
dc.typeJournal article
local.bibliographicCitation.issue11
local.bibliographicCitation.lastpage2800
local.bibliographicCitation.startpage2789
local.contributor.affiliationTrumpf, Jochen, College of Engineering and Computer Science, ANU
local.contributor.affiliationMahony, Robert, College of Engineering and Computer Science, ANU
local.contributor.affiliationHamel, Tarek, Nice Sophia Antipolis University
local.contributor.affiliationLageman, Christian, University of Wurzburg
local.contributor.authoruidTrumpf, Jochen, u4056317
local.contributor.authoruidMahony, Robert, u4033888
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor090602 - Control Systems, Robotics and Automation
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.ariespublicationf5625xPUB1980
local.identifier.citationvolume57
local.identifier.doi10.1109/TAC.2012.2195809
local.identifier.scopusID2-s2.0-84869186075
local.identifier.thomsonID000310890900007
local.type.statusPublished Version

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