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dc.contributor.authorHansen, Jakob Mahler
dc.contributor.authorFossen, Thor I.
dc.contributor.authorJohansen, Tor Arne
dc.date.accessioned2021-02-04T06:49:42Z
dc.date.available2021-02-04T06:49:42Z
dc.date.created2017-06-14T16:36:59Z
dc.date.issued2017
dc.identifier.citationControl Engineering Practice. 2017, 60 39-50.en_US
dc.identifier.issn0967-0661
dc.identifier.urihttps://hdl.handle.net/11250/2726062
dc.description.abstractGlobal navigation satellite system (GNSS) receivers suffer from an internal time-delay of up to several hundred milliseconds leading to a degeneration of position accuracy in high-dynamic systems. With the increasing interest in GNSS navigation, handling of time-delays will be vital in high accuracy applications with high velocity and fast dynamics. This paper presents a nonlinear observer structure for estimating position, linear velocity, and attitude (PVA) as well as accelerometer and gyro biases, using inertial measurements and time-delayed GNSS measurements. The observer structure consists of four parts; (a) attitude and gyro bias estimation, (b) time-delayed translational motion observer estimating position and linear velocity, (c) input delays for inertial and magnetometer measurements, and (d) a faster than real-time simulator. The delayed PVA and gyro bias estimates are computed using a uniformly semiglobally exponentially stable (USGES) nonlinear observer. The high-rate inertial measurements are delayed and synchronized with the GNSS measurements in the state observer. The fast simulator integrates the inertial measurements from the delayed state estimate to provide a state estimate at current time. The sensor measurements are carefully synchronized and the estimation procedure for the GNSS receiver delay is discussed. Experimental data from a small aircraft are used to validate the results.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.titleNonlinear observer design for GNSS-aided inertial navigation systems with time-delayed GNSS measurementsen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber39-50en_US
dc.source.volume60en_US
dc.source.journalControl Engineering Practiceen_US
dc.identifier.doi10.1016/j.conengprac.2016.11.016
dc.identifier.cristin1476157
dc.relation.projectNorges forskningsråd: 221666en_US
dc.relation.projectNorges forskningsråd: 223254en_US
dc.description.localcodeThis article will not be available due to copyright restrictions (c) 2016 by Elsevier.en_US
cristin.unitcode194,63,25,0
cristin.unitnameInstitutt for teknisk kybernetikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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