The control of wastewater treatment process based on fuzzy neural network - 文章详情页

作者：

Chaobin, Liu (Chaobin, Liu.) | Junfei, Qiao (Junfei, Qiao.) (学者：乔俊飞) | Fangfang, Zhang (Fangfang, Zhang.)

收录：

EI Scopus

摘要：

The　activated　sludge　waste　water　treatment　process　is　a　high　nonlinear　and　time-varying　system.　The　water　quality　changes　violently,　and　the　states　have　strong　coupling　between　each　other.　As　these　problems,　the　paper　proposes　an　adaptive　fuzzy　neural　network　controller.　The　results　of　simulation　show　this　controller　can　adjust　membership　function　on-line,　optimize　control　rules,　remove　contamination　quickly　and　has　great　robustness　when　applied　to　activated　sludge　system.　This　study　provides　a　new　approach　to　the　research　of　wastewater　treatment　process.　©　2006　IEEE.

关键词：

Activated sludge process Dissolved oxygen Fuzzy neural networks Intelligent control Nonlinear systems Time varying systems Wastewater treatment Water quality

作者机构：

[ 1 ] [Chaobin, Liu]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 2 ] [Junfei, Qiao]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 3 ] [Fangfang, Zhang]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China

通讯作者信息：

电子邮件地址：

liuchaobin@emails.bjut.edu.cn

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