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A 3-D Trailer Approach to Leader-Following Formation Control
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Decision and Control Systems (Automatic Control).ORCID iD: 0000-0001-5840-3767
Univ Lisbon, Inst Robot & Syst Engn & Sci LARSyS, Inst Super Tecn, P-1049001 Lisbon, Portugal.;Univ Lisbon, Inst Super Tecn, Dept Elect Engn & Comp Sci, P-1049001 Lisbon, Portugal..ORCID iD: 0000-0002-8925-1273
Univ Lisbon, Inst Robot & Syst Engn & Sci LARSyS, Inst Super Tecn, P-1049001 Lisbon, Portugal.;Univ Macau, Dept Elect & Comp Engn, Fac Sci & Technol, Macau, Peoples R China..
Univ Lisbon, Inst Robot & Syst Engn & Sci LARSyS, Inst Super Tecn, P-1049001 Lisbon, Portugal.;Univ Macau, Dept Elect & Comp Engn, Fac Sci & Technol, Macau, Peoples R China..
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2020 (English)In: IEEE Transactions on Control Systems Technology, ISSN 1063-6536, E-ISSN 1558-0865, Vol. 28, no 6, p. 2292-2308Article in journal (Refereed) Published
Abstract [en]

A real-time 3-D trajectory planner for the leader-following formation control of autonomous vehicles is proposed. The planner relies on the definition of a trailer body whose hinge point is rigidly attached to the leader and assigns each follower to a distinct point of such a trailer. Convergence results for the trailer body reference frame are presented based on Lyapunov analysis, which guarantee that the planning can be independently implemented by n followers, with a common leader, as they asymptotically behave as n points of a unique trailer body. As such, the need for communication among followers is dispensable. The proposed strategy is divided into trajectory planning and trajectory tracking, the first problem being vehicle-independent. Experimental results obtained with quadrotor vehicles are presented, which demonstrate the richness and suitability of the planned trajectories.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2020. Vol. 28, no 6, p. 2292-2308
Keywords [en]
Motion planning, path planning, nonlinear control systems, unmanned aerial vehicles
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-285633DOI: 10.1109/TCST.2019.2939119ISI: 000579414800016Scopus ID: 2-s2.0-85092733693OAI: oai:DiVA.org:kth-285633DiVA, id: diva2:1499845
Note

QC 20201110

Available from: 2020-11-10 Created: 2020-11-10 Last updated: 2022-06-25Bibliographically approved

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Ótão Pereira, Pedro Miguel

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Ótão Pereira, Pedro MiguelCunha, Rita
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Decision and Control Systems (Automatic Control)
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