| 基于区间二型模糊神经网络污水处理过程溶解氧浓度控制 |
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| 引用本文： | 韩红桂,刘峥,乔俊飞.基于区间二型模糊神经网络污水处理过程溶解氧浓度控制[J].化工学报,2018,69(3):1182-1190. |
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| 作者姓名： | 韩红桂 刘峥 乔俊飞 |
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| 作者单位： | 1.北京工业大学信息学部, 北京 100124;2.计算智能与智能系统北京市重点实验室, 北京 100124 |
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| 基金项目： | 国家自然科学基金项目（61622301，61533002）；北京市自然科学基金项目（4172005）；科技部水专项（2017ZX07104）；中国博士后科学基金资助项目（2014M550017）；北京市教委项目（km201410005001，KZ201410005002）。 |
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| 摘 要： | 针对城市污水处理过程溶解氧浓度难以精确控制的问题，提出了一种基于区间二型模糊神经网络（interval type-2 fuzzy neural networks，IT2FNN）的溶解氧浓度控制方法。先将IT2FNN应用在城市污水处理过程溶解氧浓度控制器的设计，获得了一种IT2FNN溶解氧浓度控制器。后采用自适应学习算法在线调整控制器的参数，提高了控制器的自适应能力。最后将提出的IT2FNN溶解氧浓度控制器应用于基准仿真2号模型（benchmark simulation model no.2，BSM2）平台，结果表明，IT2FNN控制器能够实现第5分区溶解氧浓度精确控制，具有较好的控制效果。
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| 关 键 词： | 污水处理过程 溶解氧 过程控制 神经网络 区间二型神经网络 实验验证 基准仿真2号模型 |
| 收稿时间： | 2017-11-01 |
| 修稿时间： | 2017-11-26 |
Control dissolved oxygen in wastewater treatment by interval type-2 fuzzy neural networks |
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| HAN Honggui,LIU Zheng,QIAO Junfei.Control dissolved oxygen in wastewater treatment by interval type-2 fuzzy neural networks[J].Journal of Chemical Industry and Engineering(China),2018,69(3):1182-1190. |
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| Authors: | HAN Honggui LIU Zheng QIAO Junfei |
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| Affiliation: | 1.Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China;2.Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing 100124, China |
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| Abstract: | An intelligent controller, based on interval type-2 fuzzy neural networks (IT2FNN) was proposed for controlling dissolved oxygen (DO) concentration in municipal wastewater treatment processes. First, IT2FNN was applied to design a DO concentration controller. Second, an adaptive learning algorithm was used to online adjust controller parameters such that self-adaptability of the IT2FNN-based DO controller could be improved. Finally, IT2FNN-based DO controller was tested in the benchmark simulation model no. 2 (BSM2). The experimental results demonstrate that the controller is able to accurately monitor DO concentration in the fifth unit and maintain excellent control. |
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| Keywords: | wastewater treatment process dissolved oxygen process control neural network interval type-2 fuzzy neural network experimental validation benchmark simulation model no 2 |
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