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Collision-Free Landing of Multiple UAVs on Moving Ground Vehicles Using Time-Varying Control Barrier Functions
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-1883-7912
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-3794-0306
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-1437-1809
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-0126-1897
2024 (English)In: 2024 American Control Conference, ACC 2024, IEEE, 2024, p. 3760-3767Conference paper, Published paper (Refereed)
Abstract [en]

In this article, we present a centralized approach for the control of multiple unmanned aerial vehicles (UAVs) for landing on moving unmanned ground vehicles (UGVs) using control barrier functions (CBFs). The proposed control framework employs two kinds of CBFs to impose safety constraints on the UAVs' motion. The first class of CBFs (LCBF) is a three-dimensional exponentially decaying function centered above the landing platform, designed to safely and precisely land UAVs on the UGVs. The second set is a spherical CBF (SCBF), defined between every pair of UAVs, which avoids collisions between them. The LCBF is time-varying and adapts to the motions of the UGVs. In the proposed CBF approach, the control input from the UAV's nominal tracking controller designed to reach the landing platform is filtered to choose a minimally-deviating control input that ensures safety (as defined by the CBFs). As the control inputs of every UAV are shared in establishing multiple CBF constraints, we prove that the control inputs are shared without conflict in rendering the safe sets forward invariant. The performance of the control framework is validated through a simulated scenario involving three UAVs landing on three moving targets.

Place, publisher, year, edition, pages
IEEE, 2024. p. 3760-3767
National Category
Control Engineering
Research subject
Robotics and Artificial Intelligence
Identifiers
URN: urn:nbn:se:ltu:diva-110166DOI: 10.23919/ACC60939.2024.10644586Scopus ID: 2-s2.0-85204419097OAI: oai:DiVA.org:ltu-110166DiVA, id: diva2:1904090
Conference
2024 American Control Conference (ACC), Toronto, Canada, July 8-12, 2024
Note

ISBN for host publication: 979-8-3503-8265-5;

Available from: 2024-10-08 Created: 2024-10-08 Last updated: 2024-10-08Bibliographically approved

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Sankaranarayanan, Viswa NarayananSaradagi, AkshitSatpute, SumeetNikolakopoulos, George

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