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Two PID-combined controllers for dissolved oxygen concentration in wastewater treatment process of a paper mill - a simulation study

机译:造纸厂废水处理过程中两个PID组合控制器用于溶解氧浓度的模拟研究

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Based on the sequential batch reactor (SBR) simulation model of the wastewater treatment process for a secondary fiber paper mill that we have developed, two control strategies, a neural network (BP-PID controller) and a fuzzy logic system (Fuzzy-PID controller), were separately combined with PID to control the dissolved oxygen (DO) concentration in the SBR process of paper mill. Two cases, without and with the presence of noise, have been studied and evaluated using the criteria considered in BSM1. For the case without noise, both two-control strategies demonstrated better control indices than that of the traditional PID control; for the case with noise, the Fuzzy-PID controller possessed the good control indices at almost the same expense of aeration energy. The results under two cases showed that the Fuzzy-PID controller demonstrated better performance than that of BP-PID controller, in the DO control of SBR process in the paper mill, Fuzzy-PID controller improved the control performance without increasing the aeration energy consumption.
机译:基于我们开发的二级纤维造纸厂废水处理过程的顺序批处理反应器(SBR)仿真模型,这两种控制策略分别是神经网络(BP-PID控制器)和模糊逻辑系统(Fuzzy-PID控制器) )与PID分别组合以控制造纸厂SBR工艺中的溶解氧(DO)浓度。使用BSM1中考虑的标准研究和评估了两种情况,即无噪声和有噪声的情况。对于没有噪声的情况,两种控制策略都显示出比传统PID控制更好的控制指标。对于有噪声的情况,Fuzzy-PID控制器具有良好的控制指标,而充气能量却几乎相同。在两种情况下的结果表明,Fuzzy-PID控制器表现出比BP-PID控制器更好的性能,在造纸厂SBR工艺的DO控制中,Fuzzy-PID控制器在不增加曝气能耗的情况下提高了控制性能。

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