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Cooperative decentralised circumnavigation with application to algal bloom tracking
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
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: 0000-0002-0170-0979
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
2019 (English)In: IEEE International Conference on Intelligent Robots and Systems, Institute of Electrical and Electronics Engineers Inc. , 2019, p. 3276-3281Conference paper, Published paper (Refereed)
Abstract [en]

Harmful algal blooms occur frequently and deteriorate water quality. A reliable method is proposed in this paper to track algal blooms using a set of autonomous surface robots. A satellite image indicates the existence and initial location of the algal bloom for the deployment of the robot system. The algal bloom area is approximated by a circle with time varying location and size. This circle is estimated and circumnavigated by the robots which are able to locally sense its boundary. A multi-agent control algorithm is proposed for the continuous monitoring of the dynamic evolution of the algal bloom. Such algorithm comprises of a decentralised least squares estimation of the target and a controller for circumnavigation. We prove the convergence of the robots to the circle and in equally spaced positions around it. Simulation results with data provided by the SINMOD ocean model are used to illustrate the theoretical results.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2019. p. 3276-3281
Keywords [en]
Multi agent systems, Water quality, Continuous monitoring, Decentralised, Dynamic evolution, Harmful algal blooms, Least squares estimation, Multiagent control, Reliable methods, Satellite images, Intelligent robots
National Category
Biological Sciences
Identifiers
URN: urn:nbn:se:kth:diva-274732DOI: 10.1109/IROS40897.2019.8967632ISI: 000544658402107Scopus ID: 2-s2.0-85081163493OAI: oai:DiVA.org:kth-274732DiVA, id: diva2:1448188
Conference
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2019, 3-8 November 2019, Macau, China
Note

QC 20200626

Part of ISBN 9781728140049

Available from: 2020-06-26 Created: 2020-06-26 Last updated: 2024-10-21Bibliographically approved

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Fonseca, JoanaWei, JieqiangJohansson, Karl H.

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