| 基于神经网络的火炮射击振动衰减研究 |
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| 引用本文： | 应文健,周锦锋,侯建. 基于神经网络的火炮射击振动衰减研究[J]. 噪声与振动控制, 2006, 26(6): 31-32 |
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| 作者姓名： | 应文健 周锦锋 侯建 |
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| 作者单位： | 1. 海军工程大学,兵器工程系,武汉,430033
2. 海装驻上海地区军事代表室,上海,200135 |
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| 摘 要： | 振动对火炮的射击精度有较大的影响。建立了一种基于神经网络的火炮减振系统非线性动态模型，用位移和速度作为模型的输入，以控制量和其变化率作为输出，并给出了网络的学习算法。仿真显示，该控制器具有良好的稳定性，结构受控后振动衰减迅速，且控制器结构简单。
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| 关 键 词： | 振动与波 神经网络 火炮 |
| 文章编号： | 1006-1355(2006)06-0031-02 |
| 收稿时间： | 2005-12-28 |
| 修稿时间： | 2005-12-28 |
Research of the Attenuation of the Artillery''''s Vibration based on Neural Networks |
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| YING Wen-jian,ZHOU Jin-feng,HOU Jian. Research of the Attenuation of the Artillery''''s Vibration based on Neural Networks[J]. Noise and Vibration Control, 2006, 26(6): 31-32 |
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| Authors: | YING Wen-jian ZHOU Jin-feng HOU Jian |
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| Abstract: | The precision of the artillery is amount affected by the vibration.A non-line dynamic model of the attenuation of the artillery's vibration based on the neural networks is presented in this article.In this model,the displacement and speed are regarded as input,and the control moment and it's change-rate output.The simulation indicates it has the better capacity and stability,and is effective. |
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| Keywords: | vibration and wave neural networks artillery |
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