Multi-Agent Formation Tracking for Autonomous Surface VehiclesShow others and affiliations
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
2021-04-192021-04-192023-09-26Bibliographically approved