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A Passivity-Based Approach to Formation Control Using Partial Measurements of Relative Position

Stacey, Geoffrey; Mahony, Robert

Description

In this technical note, we present a framework for the formation control of dynamic vehicles in R3, using partial measurements of relative position. The proposed control scheme implements virtual mechanical couplings on the available sensor measurements, and is developed using a passivity-based design approach with considerable insight from the bondgraph modelling formalism. In particular, we present a novel passive adaptive compensation technique to estimate the unknown state...[Show more]

dc.contributor.authorStacey, Geoffrey
dc.contributor.authorMahony, Robert
dc.date.accessioned2016-06-14T23:19:53Z
dc.identifier.issn0018-9286
dc.identifier.urihttp://hdl.handle.net/1885/103096
dc.description.abstractIn this technical note, we present a framework for the formation control of dynamic vehicles in R3, using partial measurements of relative position. The proposed control scheme implements virtual mechanical couplings on the available sensor measurements, and is developed using a passivity-based design approach with considerable insight from the bondgraph modelling formalism. In particular, we present a novel passive adaptive compensation technique to estimate the unknown state information required for the key cases of range and bearing measurements. We show that the proposed architecture is locally asymptotically stable to a desired formation. The performance of the proposed controller is verified by a simulation study.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.sourceIEEE Transactions on Automatic Control
dc.titleA Passivity-Based Approach to Formation Control Using Partial Measurements of Relative Position
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume61
dc.date.issued2016
local.identifier.absfor010200 - APPLIED MATHEMATICS
local.identifier.absfor080100 - ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING
local.identifier.absfor090602 - Control Systems, Robotics and Automation
local.identifier.ariespublicationU3488905xPUB15675
local.type.statusPublished Version
local.contributor.affiliationStacey, Geoffrey, College of Engineering and Computer Science, ANU
local.contributor.affiliationMahony, Robert, College of Engineering and Computer Science, ANU
local.bibliographicCitation.issue2
local.bibliographicCitation.startpage538
local.bibliographicCitation.lastpage543
local.identifier.doi10.1109/TAC.2015.2446811
dc.date.updated2016-06-14T08:43:47Z
local.identifier.scopusID2-s2.0-84962003867
CollectionsANU Research Publications

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