| 一种神经网络自适应PID控制器 |
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| 引用本文： | 夏世芬 黄天民. 一种神经网络自适应PID控制器[J]. 西南交通大学学报, 1998, 33(6): 710-715 |
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| 作者姓名： | 夏世芬 黄天民 |
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| 作者单位： | 西南交通大学应用数学系 |
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| 摘 要： | 采用神经网络与模糊逻辑相结合的方式，构造了一种自适应ＰＩＤ控制器。该控制器用具有改进学习算法的神经网络作ＰＩＤ参数调节器，用模糊神经网络对被控对象进行模型辨识，综合了神经网络，模糊控制和ＰＩＤ控制的优点。结构简单，易于实现，且适应环境能力强。
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| 关 键 词： | 神经网络 自适应控制 模糊模型 PID控制器 |
An Adaptive Neural Network PID Controller |
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| Xia Shifen Huang Tianmin. An Adaptive Neural Network PID Controller[J]. Journal of Southwest Jiaotong University, 1998, 33(6): 710-715 |
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| Authors: | Xia Shifen Huang Tianmin |
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| Abstract: | An adaptive PID controller is designed by combining neutral network with fuzzy logic. In this controller, an improved study algorithm is adopted as the PID parameter regulator, and a fuzzy network is employed to identify the controlled objects. The system makes full use of the advantages of neural networks, fuzzy control and PID control. It possesses a simple structure, easy realization and good ability to adapt to circumstances. |
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| Keywords: | neural networks adaptive control fuzzy model PID controller fuzzy identification |
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