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  4. Online adaptive geometry predictor of aquaculture fish-nets
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Online adaptive geometry predictor of aquaculture fish-nets

Date Issued
July 1, 2014
Author(s)
Potyagaylo, Svetlana  
Loizou, Savvas  
DOI
10.1109/MED.2014.6961505
Abstract
This paper proposes an online adaptive geometry predictor for aquaculture fish-nets. The 3D fish-net model is based on a lumped-mass method according to which the net meshes are represented by four interconnected cylindrical elements. The external forces are applied at the center of each element, while the internal forces are calculated as tension forces between two neighboring mass points. The model is validated through several simulations for a small-scale open cylinder exposed to steady uniform current. The preliminary simulation results of the full aquaculture net system are provided as well. The proposed predictor will be used as an information source in the control architecture of an underwater vehicle.
Subjects

Remotely operated veh...

Autonomous system

Visual inspection

Fish farm nets

Underwater vehicles

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