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污水处理过程中对污泥龄的模糊神经网络控制
引用本文:胡兴志,徐晓兵. 污水处理过程中对污泥龄的模糊神经网络控制[J]. 华北科技学院学报, 2007, 4(3): 33-35
作者姓名:胡兴志  徐晓兵
作者单位:华北科技学院,机电系,北京,东燕郊,101601;中国银行秦皇岛分行,河北,秦皇岛,066000
摘    要:针对污水处理过程的高度非线性、进水流量及水质变化剧烈、各状态变量之间存在强耦合关系等特性,提出了一种自适应模糊神经网络控制方法,以污泥龄作为运转控制参数,调节排出污泥量.研究结果表明,该控制器能够在线调整输入变量的隶属函数、优化控制规则.将其应用于活性污泥法污水处理系统中,可以快速地去除污水中的污染物,使污泥具有良好的去污能力和沉淀性能,并且具有良好的鲁棒性.

关 键 词:模糊神经网络  污水处理系统  污泥龄  智能控制
文章编号:1672-7169(2007)03-0033-03
修稿时间:2007-04-25

Fuzzy Neural Network Controls of Sludge Age in the Wastewater Treatment Processes
HU Xing-zhi,XU Xiao-bing. Fuzzy Neural Network Controls of Sludge Age in the Wastewater Treatment Processes[J]. Journal of North China Institute of Science and Technology, 2007, 4(3): 33-35
Authors:HU Xing-zhi  XU Xiao-bing
Affiliation:1. North China Institute of Science and Technology, Yanjiao Bejing-East 101601 ; 2. Qin Huangdao Branch of Bank of China, Hebei Qinhuangdao 066000
Abstract:The activated sludge wastewater treatment is a high nonlinear process, 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 have great robustness when applying to activated sludge system.
Keywords:fuzzy neural network  wastewater treatment system  sludge age  intelligent control
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