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Time-varying Control Barrier Function for Safe and Precise Landing of a UAV on a Moving Target
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 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2024, p. 8075-8080Conference paper, Published paper (Refereed)
Abstract [en]

In this article, we present a control barrier function (CBF)-based control strategy for safe and precise landing of an unmanned aerial vehicle (UAV) on a moving target. The CBF is time-varying, as it depends on the velocity of the landing platform and captures three crucial safety constraints: (a) collision avoidance with the landing platform, (b) precise vertical descent on a narrow landing platform, and (c) ground clearance throughout the landing maneuver. The proposed CBF’s parameters can be adjusted to set the desired width and height of the descending cone. A quadratic programbased CBF safety filter is designed, which takes a nominal position tracking control input and yields a minimally invasive control input that enforces the safety constraints throughout the landing maneuver. The controller’s feasibility is analyzed and its performance is validated through multiple experiments using a quadrotor UAV and an unmanned ground vehicle.

Place, publisher, year, edition, pages
IEEE, 2024. p. 8075-8080
National Category
Robotics and automation
Research subject
Robotics and Artificial Intelligence
Identifiers
URN: urn:nbn:se:ltu:diva-111630DOI: 10.1109/IROS58592.2024.10802827Scopus ID: 2-s2.0-85216477016OAI: oai:DiVA.org:ltu-111630DiVA, id: diva2:1937955
Conference
The 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024), Abu Dhabi, UAE, October 14-18, 2024
Funder
EU, Horizon Europe, 953454
Note

ISBN for host publication: 979-8-3503-7770-5

Available from: 2025-02-17 Created: 2025-02-17 Last updated: 2025-02-17Bibliographically approved

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Sankaranarayanan, Viswa NarayananSaradagi, AkshitSatpute, SumeetNikolakopoulos, George

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