| 神经网络模型参考自适应控制在污水处理中的仿真研究 |
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| 引用本文： | 胡艳玲,黄兴格,朱春颖,郑翠翠.神经网络模型参考自适应控制在污水处理中的仿真研究[J].工业仪表与自动化装置,2011(1):3-5,18. |
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| 作者姓名： | 胡艳玲 黄兴格 朱春颖 郑翠翠 |
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| 作者单位： | 燕山大学电气工程学院,河北,秦皇岛,066004 |
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| 基金项目： | 国家自然科学基金资助项目(50675186) |
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| 摘 要： | 污水处理厂目前广泛使用序批式活性污泥法处理污水.该方法是一种复杂动态生物反应过程,难以建立准确的数学模型,同时采用常规的PID控制难以达到较好的控制品质.针对以上问题,该文提出了RBF神经网络模型参考自适应控制策略,利用神经网络辨识器对污水处理模型进行辨识,使神经网络控制器不依赖被控对象精确的数学模型.仿真结果表明,该...
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| 关 键 词： | 序批式活性污泥法 RBF神经网络 模型参考自适应控制 模型辨识 |
Simulating research on neural network model reference adaptive control strategy in sewage treatment control |
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| HU Yanling,HUANG Xingge,ZHU Chunying,ZHENG Cuicui.Simulating research on neural network model reference adaptive control strategy in sewage treatment control[J].Industrial Instrumentation & Automation,2011(1):3-5,18. |
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| Authors: | HU Yanling HUANG Xingge ZHU Chunying ZHENG Cuicui |
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| Affiliation: | HU Yanling,HUANG Xingge,ZHU Chunying,ZHENG Cuicui (College of Electrical Engineering,Yanshan University,Hebei Qinhuangdao 066004,China) |
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| Abstract: | Sequencing Batch Reaction(SBR) has been widely used in sewage treatment plant to treat wastewater.The method is a complex dynamics biological response process,its model is difficult to establish,and it is difficult to meet the control request with the traditional PID control method.For these problems,RBF neural network model reference adaptive control strategy was introduced,it uses neural network identifier to identify the model of the sewage treatment,so it makes neural network controller do not rely on t... |
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| Keywords: | SBR RBF neural network model reference adaptive control model identification |
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