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Input-Output Stability Design of an Ammonium Based Aeration Controller for Wastewater Treatment

机译:基于铵的污水处理曝气控制器的输入输出稳定性设计

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摘要

Ammonium feedback is commonly used for controlling the aeration in wastewater treatment plants having biological nitrogen removal. The paper proposes the use of a PI controller tuning method based on a simplified identified model with Hammerstein structure. The Hammerstein model accounts for the delay of the process caused by the settler, the multiple bioreactors dynamics and the main nonlinear process effects. The controller tuning method exploits the Popov inequality for a pre-computation of (a subset of) the stability region of the closed loop system as a function of the PI-controller parameters, quantified in terms of the maximum loop delay of the system. The controller parameters are selected in the computed stability region. In the numerical study, the plant is identified as a Hammerstein model using a recently published method, here extended to identify multiple bioreactor tank dynamics. The identification data is obtained from a high fidelity simulator, which is also used for evaluation of the proposed controller tuning method. The results show that the proposed procedure results in a PI-controller tuning with predictable stability properties and a good performance.
机译:氨反馈通常用于控制具有生物脱氮功能的废水处理厂的曝气。本文提出了基于具有Hammerstein结构的简化识别模型的PI控制器调整方法的使用。哈默斯坦模型解释了由定居者,多个生物反应器动力学和主要的非线性过程效应引起的过程延迟。控制器调整方法利用Popov不等式,根据PI控制器参数对闭环系统稳定性区域(的子集)进行预先计算(根据系统的最大环路延迟进行量化)。在计算的稳定性区域中选择控制器参数。在数值研究中,使用最近发布的方法将植物识别为Hammerstein模型,此处将其扩展为识别多种生物反应器动态。识别数据是从高保真模拟器获得的,该模拟器也用于评估建议的控制器调整方法。结果表明,所提出的程序可实现具有可预测的稳定性和良好性能的PI控制器调整。

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