| 污水处理智能优化控制方法研究 |
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| 引用本文： | 王小艺,刘载文,齐杰,连晓峰.污水处理智能优化控制方法研究[J].控制工程,2008,15(4). |
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| 作者姓名： | 王小艺 刘载文 齐杰 连晓峰 |
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| 作者单位： | 北京工商大学,信息工程学院,北京,100037 |
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| 基金项目： | 北京教育委员会基金
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北京市自然科学基金 |
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| 摘 要： | 针对污水处理过程的特点,在保证出水质量和节能前提下,建立获取控制参数溶解氧(DO)的优化模型;在此基础上,为有效跟踪控制DO,克服由于干扰等不确定因素对DO控制的影响,建立了基于自适应模糊神经网络(ANFIS)的DO跟踪控制模型,可自适应地调节模糊推理规则,为实时DO优化控制提供依据。通过实验测试验证了该方法可满足污水处理的精度及要求。
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| 关 键 词： | 溶解氧DO 遗传算法 自适应模糊神经网络 跟踪控制 |
On Intelligent Optimization Control Method for Sewage Water Treatment |
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| WANG Xiao-yi,LIU Zai-wen,QI Jie,LIAN Xiao-feng.On Intelligent Optimization Control Method for Sewage Water Treatment[J].Control Engineering of China,2008,15(4). |
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| Authors: | WANG Xiao-yi LIU Zai-wen QI Jie LIAN Xiao-feng |
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| Abstract: | According to the characteristics of sewage treatment process,ensuring water quality and energy saving,the DO optimization model is presented.To track and control DO effectively,and overcome the influence of uncertain factors to DO control,a control model of DO based on adaptive neuro-fuzzy inference system(ANFIS) is established,which can adjust adaptively the fuzzy inference rules,providing the references for DO optimal control in real-time.Laboratory testing result shows that the method can meet requirements of the accuracy of sewage treatment. |
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| Keywords: | DO genetic algorithms ANFIS following control |
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