【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,以泥龄作为运转控制参数,调节排出的污泥量.仿真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,并且具有很强的鲁棒性.更多还原

【Abstract】 Wastewater treatment is a highly nonlinear process, the water quality changes violently,and there exists strong coupling among the state variables.For these problems,this paper proposes an adaptive fuzzy neural network controller.Simulation results show that this controller can adjust the membership function of input variables and optimize the control rules in an on-line way.When applying to the wastewater treatment system based on activated sludge,this method can remove contamination quickly,makes the sludge maintain good performance of decontamination and deposition,and is of great robustness.更多还原