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Safe Autonomous Docking Maneuvers for a Floating Platform based on Input Sharing Control Barrier Functions
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-3557-6782
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
2022 (English)In: 2022 IEEE 61st Conference on Decision and Control (CDC), Institute of Electrical and Electronics Engineers Inc. , 2022, p. 3746-3753Conference paper, Published paper (Refereed)
Abstract [en]

In this article, we present a control strategy for the problem of safe autonomous docking for a planar floating platform (Slider) that emulates the movement of a satellite. Employing the proposed strategy, Slider approaches a docking port with the right orientation, maintaining a safe distance, while always keeping a visual lock on the docking port throughout the docking maneuver. Control barrier functions are designed to impose the safety, direction of approach and visual locking constraints. Three control inputs of the Slider are shared among three barrier functions in enforcing the constraints. It is proved that the control inputs are shared in a conflict-free manner in rendering the sets defining safety and visual locking constraints forward invariant and in establishing finite-time convergence to the visual locking mode. The conflict-free input-sharing ensures the feasibility of a quadratic program that generates minimally-invasive corrections for a nominal controller, that is designed to track the docking port, so that the barrier constraints are respected throughout the docking maneuver. The efficacy of the proposed control design approach is validated through various simulations.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2022. p. 3746-3753
Series
Proceedings of the IEEE Conference on Decision & Control, ISSN 0743-1546, E-ISSN 2576-2370
Keywords [en]
Autonomous Docking, Control Applications, Control Barrier Functions, Planar Floating Platform, Quadratic Programming, Safety, Visual Locking
National Category
Control Engineering
Research subject
Robotics and Artificial Intelligence
Identifiers
URN: urn:nbn:se:ltu:diva-95530DOI: 10.1109/CDC51059.2022.9993109Scopus ID: 2-s2.0-85147008727ISBN: 978-1-6654-6761-2 (electronic)OAI: oai:DiVA.org:ltu-95530DiVA, id: diva2:1735015
Conference
2022 IEEE 61st Conference on Decision and Control (CDC22), December 6-9, 2022, Cancun, Mexico
Available from: 2023-02-07 Created: 2023-02-07 Last updated: 2023-02-07Bibliographically approved

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Saradagi, AkshitBanerjee, AvijitSatpute, SumeetNikolakopoulos, George

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