Design of a 6-DOF Aerial Hybrid Cable-Driven Parallel Manipulator

This paper presents the design of a 6-degreeof-freedom (DOF) hybrid cable-driven parallel manipulator (HCDPM) with a central elastic rod. HCDPM is integrated with a multi-rotor unmanned aerial vehicle (UAV) for the contact inspection of floating offshore wind turbines (FOWTs) by delivering a sensor. Flexible cables allow the end-effector (EE) to actively adapt to the target’s movements during approach. Once the EE attaches to the target, the central rod detaches from the EE and the cables slacken. This setup enables the sensor to directly detect signals from the FOWTs without being influenced by the UAV’s movements and vibrations, thanks to the unidirectional tension transmission in the cables. Finally, the accuracy of the modeling and the significance of introducing the central rod were validated through co-simulation and workspace calculation. The results indicate that the inclusion of the rod significantly improves the model’s precision, design’s stiffness, and the workspace.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/mesa61532.2024.10704885
Citations
1
Primary Topic
Robotic Path Planning Algorithms
Type
article
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Design of a 6-DOF Aerial Hybrid Cable-Driven Parallel Manipulator

Philip Long, Vikram Pakrashi, Kong Zhang, Guangbo Hao et al.
1 citations
Robotic Path Planning Algorithms
0.25
article

Design of a 6-DOF Aerial Hybrid Cable-Driven Parallel Manipulator

Philip Long, Vikram Pakrashi, Kong Zhang, Guangbo Hao, Jimmy Murphy
article en
1 citations

Abstract

This paper presents the design of a 6-degreeof-freedom (DOF) hybrid cable-driven parallel manipulator (HCDPM) with a central elastic rod. HCDPM is integrated with a multi-rotor unmanned aerial vehicle (UAV) for the contact inspection of floating offshore wind turbines (FOWTs) by delivering a sensor. Flexible cables allow the end-effector (EE) to actively adapt to the target’s movements during approach. Once the EE attaches to the target, the central rod detaches from the EE and the cables slacken. This setup enables the sensor to directly detect signals from the FOWTs without being influenced by the UAV’s movements and vibrations, thanks to the unidirectional tension transmission in the cables. Finally, the accuracy of the modeling and the significance of introducing the central rod were validated through co-simulation and workspace calculation. The results indicate that the inclusion of the rod significantly improves the model’s precision, design’s stiffness, and the workspace.

University College Dublin (IE), University College Cork (IE), Atlantic Technological University (IE)
Affordable and clean energy
Openalex Percentile: Top 46%
Robotic Path Planning Algorithms
0.25
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