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Cooperative circumnavigation for a mobile target using adaptive estimation
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). KTH, School of Electrical Engineering and Computer Science (EECS), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-0431-3667
Ericsson .
Norwegian University of Science and TechnologyTrondheimNorway.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control). KTH, School of Electrical Engineering and Computer Science (EECS), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
2021 (English)In: Lecture Notes in Electrical Engineering, Springer Science and Business Media Deutschland GmbH , 2021, Vol. 695, p. 33-48Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we consider the problem of tracking a mobile target using adaptive estimation while circumnavigating it with a system of Unmanned Surface Vehicles (USVs). The mobile target considered is an irregular dynamic shape approximated by a circle with moving centre and varying radius. The USV system is composed of n USVs of which one is equipped with an Unmanned Aerial Vehicle (UAV) capable of measuring both the distance to the boundary of the target and to its centre. This USV equipped with the UAV uses adaptive estimation to calculate the location and size of the mobile target. The USV system must circumnavigate the boundary of the target while forming a regular polygon. We design two algorithms: One for the adaptive estimation of the target using the UAV’s measurements and another for the control protocol to be applied by all USVs in their navigation. The convergence of both algorithms to the desired state is proved up to a limit bound. Two simulated examples are provided to verify the performance of the algorithms designed in this paper.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH , 2021. Vol. 695, p. 33-48
Keywords [en]
Antennas, Automation, Process control, Soft computing, Unmanned aerial vehicles (UAV), Adaptive estimation, Control protocols, Mobile targets, Regular polygon, Unmanned surface vehicles
National Category
Control Engineering Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-285290DOI: 10.1007/978-3-030-58653-9_4ISI: 000894277100004Scopus ID: 2-s2.0-85091293792OAI: oai:DiVA.org:kth-285290DiVA, id: diva2:1506191
Conference
CONTROLO 2020: CONTROLO 2020 , 1 July 2020 through 3 July 2020
Note

QC 20201202

Available from: 2020-12-02 Created: 2020-12-02 Last updated: 2024-01-10Bibliographically approved

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Fonseca, JoanaJohansson, Karl H.

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  • apa
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