| 基于RBF神经网络的PID控制在变风量空调系统中的应用 |
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| 引用本文： | 瞿睿,李界家. 基于RBF神经网络的PID控制在变风量空调系统中的应用[J]. 现代建筑电气, 2012, 0(2): 10-13 |
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| 作者姓名： | 瞿睿 李界家 |
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| 作者单位： | 沈阳建筑大学信息与控制工程学院,辽宁沈阳,110168 |
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| 摘 要： | 将RBF神经网络引入PID控制中,建立了一个三层神经网络模型。通过RBF神经网络的在线辨识对PID控制的三个参数进行在线调整,从而改善系统的控制效果。仿真结果表明:基于RBF神经网络的PID控制与传统PID控制相比,具有较强的鲁棒性和自适应能力,控制精度高,效果好,安全可靠。
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| 关 键 词： | 变风量空调系统 RBF神经网络 PID控制 |
Application of PID Control Based on RBF Neural Network in VAV Air Conditioning System |
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| QU Rui,LI Jiejia. Application of PID Control Based on RBF Neural Network in VAV Air Conditioning System[J]. Moder Architecture Electric, 2012, 0(2): 10-13 |
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| Authors: | QU Rui LI Jiejia |
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| Affiliation: | (School of Information and Control Engineering,Shenyang Jianzhu University,Shenyang 110168,China) |
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| Abstract: | The RBF neural network in PID control was introduced,a three-layer neural network model was established,the online identification of RBF neural network to online adjust three parameters of PID control was used to improve the control effect of this system.The simulation results showed that compared PID control based on RBF neural network with traditional PID control,the former has stronger robustness and adaptive ability,high control precision,better and reliable control effect and other advantages. |
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| Keywords: | VAV air conditioning system RBF neural network PID control |
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