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On the Design, Modeling and Experimental Verification of a Floating Satellite Platform
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: 0000-0001-8870-6718
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
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2022 (English)In: IEEE Robotics and Automation Letters, E-ISSN 2377-3766, Vol. 7, no 2, p. 1364-1371Article in journal (Refereed) Published
Abstract [en]

In this letter, a floating robotic emulation platform is presented with an autonomous maneuverability for a virtual demonstration of a satellite motion. Such a robotic platform design is characterized by its friction-less, levitating, yet planar motion over a hyper-smooth surface. The design of the robotic platform, integrated with the sensor and actuator units, is briefly described, including the related component specification along with the mathematical model, describing its dynamic motion. Additionally, the article establishes a nonlinear optimal control architecture consisting of a unified model predictive approach for the overall manoeuvre tracking. The efficacy of the proposed modeling and control scheme is demonstrated in multiple experimental studies, where it is depicted that the proposed controller has the potential to address a precise point-to-point manoeuvre with terminal objectives, as well as an excellent path following capability. The proposed design is validated with extensive experimental studies, and it is supported with related results.

Place, publisher, year, edition, pages
IEEE, 2022. Vol. 7, no 2, p. 1364-1371
Keywords [en]
Friction-less floating platform, Nonlinear model predictive control, Optimization and optimal control, Satellite simulator, Space robotics and automation
National Category
Robotics
Research subject
Robotics and Artificial Intelligence
Identifiers
URN: urn:nbn:se:ltu:diva-88926DOI: 10.1109/LRA.2021.3140134ISI: 000742180000011Scopus ID: 2-s2.0-85122592381OAI: oai:DiVA.org:ltu-88926DiVA, id: diva2:1632644
Note

Validerad;2022;Nivå 2;2022-01-27 (johcin)

Available from: 2022-01-27 Created: 2022-01-27 Last updated: 2024-01-17Bibliographically approved

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Banerjee, AvijitSatpute, SumeetKanellakis, ChristoforosTevetzidis, IliasHaluska, JakubNikolakopoulos, George

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IEEE Robotics and Automation Letters
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