Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/9651
Title: Online adaptive geometry predictor of aquaculture fish-nets
Authors: Potyagaylo, Svetlana 
Loizou, Savvas 
Keywords: Remotely operated vehicles
Autonomous system
Visual inspection
Fish farm nets
Underwater vehicles
Issue Date: 1-Jul-2014
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: 22nd Mediterranean Conference on Control and Automation, MED 2014; University of PalermoPalermo; Italy; 16 June 2014 through 19 June 2014
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.
URI: http://ktisis.cut.ac.cy/handle/10488/9651
ISBN: 978-147995900-6
Rights: © 2014 IEEE.
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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