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An open-source implementation of a unit quaternion based attitude and trajectory tracking for quadrotors

dc.contributor.authorBangura, Moses
dc.contributor.authorMahony, Robert
dc.contributor.authorLim, Hyon
dc.contributor.authorJin Kim, Hee
dc.coverage.spatialMelbourne, Australia
dc.date.accessioned2018-11-30T01:19:29Z
dc.date.available2018-11-30T01:19:29Z
dc.date.createdDecember 2-4 2014
dc.date.issued2014
dc.date.updated2018-11-29T08:21:04Z
dc.description.abstractIn this paper, we present results on the implementation of a hierarchical quaternion based attitude and trajectory controller for manual and autonomous flights of quadrotors. Unlike previous papers on using quaternion representation, we use the nonlinear complementary filter that estimates the attitude in quaternions and as such does not involve Euler angles or rotation matrices. We show that for precise trajectory tracking, the resulting attitude error dynamics of the system is non-autonomous and is almost globally asymptotically and locally exponentially stable under the proposed control law. We also show local exponential stability of the translational dynamics under the proposed trajectory tracking controller which sits at the highest level of the hierarchy. Thus by input-to-state stability, the entire system is locally exponentially stable. The quaternion based observer and controllers are available as open-source.
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.isbn9780980740448
dc.identifier.urihttp://hdl.handle.net/1885/154085
dc.publisherAustralian Robotics and Automation Association
dc.relation.ispartofseriesAustralasian Conference on Robotics and Automation
dc.sourceProceedings of Australasian Conference on Robotics and Automation
dc.source.urihttp://www.araa.asn.au/conferences/acra-2014/
dc.titleAn open-source implementation of a unit quaternion based attitude and trajectory tracking for quadrotors
dc.typeConference paper
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.lastpage10
local.bibliographicCitation.startpage1
local.contributor.affiliationBangura, Moses, College of Engineering and Computer Science, ANU
local.contributor.affiliationMahony, Robert, College of Engineering and Computer Science, ANU
local.contributor.affiliationLim, Hyon, Seoul National University
local.contributor.affiliationJin Kim, Hee, Seoul National University
local.contributor.authoruidBangura, Moses, u5119401
local.contributor.authoruidMahony, Robert, u4033888
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080104 - Computer Vision
local.identifier.absfor090602 - Control Systems, Robotics and Automation
local.identifier.ariespublicationU3488905xPUB25362
local.identifier.scopusID2-s2.0-84994718767
local.type.statusPublished Version

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