| 基于神经网络PID的轧机AGC力控制 |
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| 引用本文： | 王益群,王海芳,高英杰,朱丹丹.基于神经网络PID的轧机AGC力控制[J].中国机械工程,2005,16(18):1650-1653. |
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| 作者姓名： | 王益群 王海芳 高英杰 朱丹丹 |
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| 作者单位： | 燕山大学,秦皇岛,066004 |
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| 基金项目： | 国家自然科学基金，河北省自然科学基金 |
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| 摘 要： | 以PID控制器为基础,辅助以神经网络的自学习、自适应能力,将神经网络和PID控制融合为一体,设计出一种神经网络PID控制器,应用于具有高度非线性、时变性的板带轧机AGC力控制系统,仿真结果表明,能有效改善系统的动态品质,并具有良好的适应能力.
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| 关 键 词： | PID控制 神经网络 BP算法 液压AGC |
| 文章编号： | 1004-132X（2005）18-1650-04 |
| 收稿时间： | 2004-10-26 |
| 修稿时间： | 2004-10-26 |
Hydraulic AGC Press System Based on NNPID Controller |
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| Wang Yiqun,Wang Haifang,Gao Yingjie,Zhu Dandan.Hydraulic AGC Press System Based on NNPID Controller[J].China Mechanical Engineering,2005,16(18):1650-1653. |
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| Authors: | Wang Yiqun Wang Haifang Gao Yingjie Zhu Dandan |
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| Abstract: | A new neural network PID(NNPID) controller,which was based on PID by means of NN's ability of self-learning and adaptive,was presented.The NNPID controller was designed by combining neural network with PID control strategy.An improved BP algorithm was used in the NN.This paper presented the control for high nonlinear,time-varying hydraulic AGC of rolling mills based on the NNPID controller.The simulations show that dynamic quality of the system is improved,and NNPID has good adaptability. |
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| Keywords: | PID control neural network BP algorithm hydraulic AGC |
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