| 一种神经网络自适应PID控制器 |
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| 引用本文： | 贾睿峰,黄辉.一种神经网络自适应PID控制器[J].控制工程,2004(Z1). |
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| 作者姓名： | 贾睿峰 黄辉 |
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| 作者单位： | 北京交通大学电气工程学院 北京100044
(贾睿峰)，北京交通大学电气工程学院 北京100044(黄辉) |
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| 摘 要： | 应用人工神经网络的原理,设计了一种神经网络的职能PID控制器。仿真结果表明,此PID控制器对非线性时不变系统有比传统的PID好的控制效果。该控制器将神经网络和PID控制规律融为一体,既具有常规PID控制器结构简单、参数物理意义明确之优点,又具有神经网络自学习、自适应之能力,控制效果明显提高。
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| 关 键 词： | PID控制器 神经网络 非线性预测模型 |
An Adaptive Neural Network PID Controller |
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| JIA Rui-feng,HUANG Hui.An Adaptive Neural Network PID Controller[J].Control Engineering of China,2004(Z1). |
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| Authors: | JIA Rui-feng HUANG Hui |
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| Abstract: | Guided by the principle of artificial neural network, a new kind of intelligence PID controller based on artificial neural network is devised. Emulation result shows that the PID controller has better control effect on non- linear time-fixedness systems than traditional PID controllers. The PID is a combination of the neural network and the PID rule. It has an input layer, a hidden layer and an output layer, and its hidden layer units are proportional, integral and derivative units. The PID has advantages of both neural network and PID algorithm. |
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| Keywords: | PID controller neural network non-linear prediction model |
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