A port-hamiltonian approach to formation control using bearing measurements and range observers

Geoff Stacey, Robert Mahony

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    11 Citations (Scopus)

    Abstract

    In this paper we consider the problem of formation control using measurements of the bearings between vehicles. We design our system using port-Hamiltonian theory and the bondgraph modelling technique. Our approach builds upon the architecture presented in [22], which relied on partial measurements of relative position rather than position measurements with respect to an inertial frame. The previous work used a generalised form of the image Jacobians employed in imagebased visual servo (IBVS) control literature to compute the desired control forces. However, the implementation of these measurement Jacobians requires unknown information about the relative positions of the vehicles. A key contribution of this paper is that we show how a depth observer can be integrated into the design to overcome this problem for the case where bearing measurements are available. Assuming that a single distance measurement is also available, we can specify a rigid goal formation in terms of the available measurements of relative positions. For this system, we prove local convergence to the desired configuration. We then provide a discussion regarding the implementation, and suggest that in practice, the distance measurement may be unnecessary. This discussion is supported by simulation results.

    Original languageEnglish
    Title of host publication2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages7641-7646
    Number of pages6
    ISBN (Print)9781467357173
    DOIs
    Publication statusPublished - 2013
    Event52nd IEEE Conference on Decision and Control, CDC 2013 - Florence, Italy
    Duration: 10 Dec 201313 Dec 2013

    Publication series

    NameProceedings of the IEEE Conference on Decision and Control
    ISSN (Print)0743-1546
    ISSN (Electronic)2576-2370

    Conference

    Conference52nd IEEE Conference on Decision and Control, CDC 2013
    Country/TerritoryItaly
    CityFlorence
    Period10/12/1313/12/13

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