DocumentCode :
158565
Title :
Online adaptive geometry predictor of aquaculture fish-nets
Author :
Potyagaylo, Svetlana ; Loizou, Savvas G.
Author_Institution :
Mech. & Mater. Sci. & Eng. Dept., Cyprus Univ. of Technol., Limassol, Cyprus
fYear :
2014
fDate :
16-19 June 2014
Firstpage :
1002
Lastpage :
1007
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.
Keywords :
aquaculture; autonomous underwater vehicles; fishing industry; marine control; mobile robots; net structures (mechanical); 3D fish-net model; ROV; aquaculture fish-nets; control architecture; lumped-mass method; online adaptive geometry predictor; remotely operated vehicle; underwater vehicle; Aquaculture; Drag; Force; Geometry; Numerical models; Simulation; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation (MED), 2014 22nd Mediterranean Conference of
Conference_Location :
Palermo
Print_ISBN :
978-1-4799-5900-6
Type :
conf
DOI :
10.1109/MED.2014.6961505
Filename :
6961505
Link To Document :
بازگشت