多机构控制下的拖曳体三维水动力响应分析  

3D Hydrodynamic Response Analysis of Underwater Towed Vehicle Under Joint Manipulations of Multiple Controls

作　　者：吴家鸣[1] 熊小辉[1] 

机构地区：[1]华南理工大学交通学院,广东广州510640

出　　处：《华南理工大学学报（自然科学版）》2007年第2期54-58,共5页Journal of South China University of Technology(Natural Science Edition)

基　　金：国家自然科学基金资助项目(40276034)

摘　　要：以一种自主稳定可控制水下拖曳体为研究对象,分析匀速拖曳时在迫沉水翼和双尾推进器联合作用下拖曳体的三维水动力响应特性.首先根据已有的单控制机构(迫沉水翼或双尾推进器)作用下拖曳体的拖曳水池样机二维试验数据作为训练样本,采用LMBP算法,建立起基于神经网络理论的自主稳定可控制水下拖曳体水动力数值模型,以此为工具分析在两种控制机构联合操纵下拖曳体的三维水动力特性.数值模拟结果表明:利用这一神经网络模型可以对拖曳体在多机构控制动作下的三维水动力响应进行有效的数值仿真模拟.In this paper, a self-stable controllable underwater towed vehicle was taken as the research object, and the 3D hydrodynamic response performances of the vehicle with a constant velocity under the joint manipulations of a depressing wing and a twin-stern thruster were discussed. In the investigation, a numerical hydrodynamic model was established based on the LMBP algorithm of neural network theory. The experimental data for training the proposed model were provided from those of 2D vehicle prototype towing experiments conducted in a towing tank under the manipulation of single control mechanism such as a depressing wing or a twin-stern thruster, respectively. The 3D hydrodynamic performances of the vehicle under the joint manipulations of the two above-mentioned control mechanisms were then analyzed based on the proposed model. The results of numerical simulation indicate that, by using the proposed model, the 3D hydrodynamic performances of the towed vehicle under the joint manipulations of multiple controls can be effectively simulated.

关 键 词：水下拖曳体 联合控制 水动力学 LMBP算法 神经网络 

分 类 号：TV131.2[水利工程—水力学及河流动力学] P715.5[天文地球—海洋科学]