| 柔性身管的RBF神经网络PID控制 |
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| 引用本文： | 田福庆,李克玉,李进卫.柔性身管的RBF神经网络PID控制[J].舰船科学技术,2012(4):93-97. |
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| 作者姓名： | 田福庆 李克玉 李进卫 |
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| 作者单位： | 1. 海军工程大学兵器工程系,湖北武汉,430033
2. 中国船舶重工集团公司第七一三研究所,河南郑州,450015 |
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| 摘 要： | 由于舰炮身管的弯曲振动,传统的利用炮管轴角位移进行反馈控制的方法无法精确控制炮口指向。针对这一缺点,提出了一种利用炮口角位移作为随动系统位置环反馈信息的控制结构。为模拟身管的振动,应用多刚体动力学对舰炮身管进行了柔性体建模。为改进后的控制结构设计了基于RBF神经网络整定PID参数的控制器,并与传统PID控制器的控制效果进行了仿真对比,验证其对于提高随动系统控制精度的有效性。
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| 关 键 词： | 柔性身管 随动系统 RBF神经网络 SimMechancis |
PID control based on RBF neural network of flexible gun-tube |
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| TIAN Fu-qing
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LI Ke-yu
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LI Jin-wei.PID control based on RBF neural network of flexible gun-tube[J].Ship Science and Technology,2012(4):93-97. |
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| Authors: | TIAN Fu-qing LI Ke-yu LI Jin-wei |
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| Institution: | 1.Department of Weaponry Engineering,Naval Univercity of Engineering,Wuhan 430033,China; 2.The 713 Research Institute of CSIC,Zhengzhou 450015,China) |
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| Abstract: | The traditional servo system can not provide the accurate control of the muzzle directionality because of the tube vibration,so aimed at the defect,a control structure which collected the feedback digital information of position loop from muzzle was put forward.A PID controller based on RBF neural network was designed for realizing the purpose of controlling the directionality of muzzle.Whose control effectivities were compared with effectivities of the traditional PID controller in simulation tests. |
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| Keywords: | flexible tube servo system RBF neural network SimMechancis |
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