Online adaptive geometry predictor of aquaculture fish-nets

Svetlana Potyagaylo, S. Loizou
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引用次数: 5

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.
水产养殖渔网的在线自适应几何预测器
提出了一种水产养殖渔网的在线自适应几何预测器。三维鱼网模型是基于集中质量法,根据该方法,网状网格由四个相互连接的圆柱形单元表示。外力作用于每个单元的中心,而内力计算为两个相邻质点之间的拉力。通过对恒定均匀电流下的小型开式圆柱体的多次仿真验证了该模型的有效性。并给出了全养殖网系统的初步模拟结果。所提出的预测器将作为水下航行器控制体系结构中的信息源。
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