| 一种改进的基于神经网络模式的PID控制研究 |
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| 引用本文： | 李文峰,刘军营,盛蕾.一种改进的基于神经网络模式的PID控制研究[J].系统仿真技术,2007,3(4):217-220. |
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| 作者姓名： | 李文峰 刘军营 盛蕾 |
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| 作者单位： | 山东理工大学机械工程学院,淄博,255049 |
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| 摘 要： | 基于神经网络模式的PID控制是PID控制规律与神经网络的动态结合,本文分析了此控制的局限性,并提出了改进算法,扩大了此控制的适用范围。用Matlab软件对改进的算法进行仿真,结果证明改进的算法有很好的收敛效果,从实验上验证了算法的有效性。
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| 关 键 词： | 神经网络 PID控制 仿真 |
Research on the Improved Neural Network Based PID Control |
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| LI Wenfeng,LIU Junying,SHENG Lei.Research on the Improved Neural Network Based PID Control[J].System Simulation Technology,2007,3(4):217-220. |
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| Authors: | LI Wenfeng LIU Junying SHENG Lei |
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| Abstract: | Neural network based PID control is the dynamic integration of neural network and the PID control.The defects of the control method are analyzed,and some improved methods are proposed which increases the applicability of this control method.Simulation is done with Matlab for this improved algorithm,the result indicates that the improved algorithm can converges very well.The validity of the algorithm has been verified experimentally. |
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| Keywords: | Neural network PID control simulation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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