化工学报2018，Vol.69Issue(3)：1182-1190,9.DOI:10.11949/j.issn.0438-1157.20171454
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
Control dissolved oxygen in wastewater treatment by interval type-2 fuzzy neural networks
摘要
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.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Key words
wastewater treatment process/dissolved oxygen/process control/neural network/interval type-2 fuzzy neural network/experimental validation/benchmark simulation model no. 2分类
信息技术与安全科学引用本文复制引用
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):1182-1190,9.基金项目
国家自然科学基金项目(61622301,61533002) （61622301,61533002）
北京市自然科学基金项目(4172005) （4172005）
科技部水专项(2017ZX07104) （2017ZX07104）
中国博士后科学基金资助项目(2014M550017) （2014M550017）
北京市教委项目(km201410005001,KZ201410005002).supported by the National Natural Science Foundation of China(61622301,61533002),the Beijing Natural Science Foundation(4172005),the Major National Science and Technology Project(2017ZX07104),the China Postdoctoral Science Foundation funded project(2014M550017)and the Beijing Municipal Education Commission Science and Technology Development Program(km201410005001,KZ201410005002). （km201410005001,KZ201410005002）
