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Multi-Agent Formation Tracking for Autonomous Surface Vehicles
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0002-7068-5178
Ericsson AB, 115 41 Stockholm, Sweden.ORCID iD: 0000-0002-0170-0979
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Vehicle Engineering and Solid Mechanics.ORCID iD: 0000-0003-2027-559X
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Vehicle Engineering and Solid Mechanics.ORCID iD: 0000-0003-3337-1900
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2021 (English)In: IEEE Transactions on Control Systems Technology, ISSN 1063-6536, E-ISSN 1558-0865, Vol. 29, no 6, p. 2287-2298Article in journal (Refereed) Published
Abstract [en]

In this article, the problem of collaborative tracking of an underwater target using autonomous surface vehicles (ASVs) is studied. Distance-based formation control with a collision-avoidance potential function is employed as a solution. A formation control protocol is devised and applied to the formation tracking problem. With the protocol, the vehicles form a desired formation around a moving target in order to continuously estimate its position, while the centroid of the formation tracks the target. Almost global stability is proved for the case with three tracking agents. A fully operational platform with four ASVs was built to implement the derived algorithms. One of the vehicles was used to simulate a target and the rest to form a triangular formation around it. Power usage of a naval vessel is highly affected by water resistance forces which increases significantly with the velocity. This was accounted for by adding an additional term to the formation tracking protocol, thereby increasing the overall system endurance. Experimental results are presented.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2021. Vol. 29, no 6, p. 2287-2298
Keywords [en]
Autonomous surface vehicles (ASVs), Convergence, Estimation, formation control, Multi-agent systems, Protocols, Sea surface, Target tracking, tracking., Trajectory, Autonomous agents, Multi agent systems, Naval vessels, Unmanned surface vehicles, Almost global stability, Autonomous surface vehicles, Collaborative tracking, Formation tracking, Fully operational, Potential function, Underwater target, Water-resistances, Autonomous vehicles
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-292886DOI: 10.1109/TCST.2020.3035476ISI: 000704824600004Scopus ID: 2-s2.0-85098802598OAI: oai:DiVA.org:kth-292886DiVA, id: diva2:1545453
Note

QC 20211105

Available from: 2021-04-19 Created: 2021-04-19 Last updated: 2023-09-26Bibliographically approved

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Ringbäck, RasmusWei, JieqiangStrandell Erstorp, EliasKuttenkeuler, JacobJohansson, Karl H.

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Ringbäck, RasmusWei, JieqiangStrandell Erstorp, EliasKuttenkeuler, JacobJohansson, Karl H.
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Decision and Control Systems (Automatic Control)Vehicle Engineering and Solid Mechanics
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