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On Model-based Adhesion Control of a Vortex Climbing Robot
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-9399-7801
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-6415-6982
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: 0000-0003-0126-1897
2019 (English)In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2019, p. 1460-1465Conference paper, Published paper (Other academic)
Abstract [en]

In this article, the adhesion modeling and control case of a Vortex Climbing Robot (VCR) is investigated against a surface of variable orientations. The critical adhesion force exerted from the implemented Vortex Actuator (VA) and the VCR's achievable payload are analyzed under 3-DOF rotations of the test surface, while extracted from both geometrical analysis and dynamically-simulated numerical results. A model-based control scheme is later proposed, with the goal of achieving adhesion while the VCR remains immobilized, limiting the power consumption and compensating for disturbances (e.g. moving cables) leading to Center-of-Mass (CoM) changes. Finally, the model-based control scheme is experimentally evaluated, with the VCR prototype on a rotating and moving flat surface. The presented results support the use of the proposed methodology in climbing robots targeting inspection and maintenance of stationary surfaces (flat, curved etc.), as well as future robotic solutions operating on moving structures (e.g. ships, cranes, folding bridges).

Place, publisher, year, edition, pages
IEEE, 2019. p. 1460-1465
Series
IEEE International Workshop on Intelligent Robots and Systems (IROS), E-ISSN 2153-0866
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-78228DOI: 10.1109/IROS40897.2019.8968069ISI: 000544658401033Scopus ID: 2-s2.0-85081163460ISBN: 978-1-7281-4004-9 (electronic)OAI: oai:DiVA.org:ltu-78228DiVA, id: diva2:1417310
Conference
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 3-8 Nov. 2019, Macau, China
Available from: 2020-03-27 Created: 2020-03-27 Last updated: 2025-10-22Bibliographically approved

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Andrikopoulos, GeorgePapadimitriou, AndreasBrusell, AngelicaNikolakopoulos, George

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