| 应用神经网络建立水下拖曳体轨迹姿态水动力控制模型 |
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| 引用本文： | 熊小辉,吴家鸣,李志印.应用神经网络建立水下拖曳体轨迹姿态水动力控制模型[J].广东海洋大学学报,2005,25(3):67-72. |
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| 作者姓名： | 熊小辉 吴家鸣 李志印 |
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| 作者单位： | 华南理工大学交通学院,广东,广州,510640 |
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| 基金项目： | 中国科学院资助项目，国家留学回国人员科研项目 |
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| 摘 要： | 以拖曳体的拖曳水池样机试验取得试验数据作为训练样本,采用LMBP算法,建立基于神经网络理论构建的可控制水下拖曳体轨迹与姿态水动力控制数值模型,并进行LMBP模型仿真检验。结果表明,利用所建全的神经网络模型对拖曳体在一定控制动作下的水动力响应预报是令人满意的。
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| 关 键 词： | 水下拖曳体 神经网络 LMBP算法 水动力学 |
| 文章编号： | 1007-7995(2005)03-0067-06 |
| 修稿时间： | 2004年12月18 |
A Hydrodynamic and Control Model for an Underwater Towed Vehicle Based on Neural Network Theory |
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| Xiong Xiao-hui,Wu Jia-ming,Li Zhi-yin.A Hydrodynamic and Control Model for an Underwater Towed Vehicle Based on Neural Network Theory[J].Journal of Zhanjiang Ocean University,2005,25(3):67-72. |
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| Authors: | Xiong Xiao-hui Wu Jia-ming Li Zhi-yin |
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| Abstract: | A hydrodynamic neural network model for a trajectory and attitude controllable underwatertowed vehicle is established based on LMBP algorithm. The training samples are provided fromtesting da-ta of the towed vehicle prototype towing experiments conducted in a towing tank and the model can thenbe established. The numerical simulation results in the paper indicate that forecast of the hydrodynamicand control performances of the underwater towed vehicle under a given control manipulation by the estab-lished neural network model is satisfactory. |
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| Keywords: | underwater towed vehicle neural network LMBP algorithm hydrodynam ics |
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