EPSAC for wastewater treatment process (BSM1)

R. Crisan, I. Nascu, E. Volcke, R. D. De Keyser
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引用次数: 2

Abstract

Predictive control is one of the most spread advanced control algorithms in industrial application field. Extended Prediction Self-Adaptive Control (EPSAC) is a part of this family of algorithms and is suitable for wastewater treatment plants control. The main goal of those industrial processes is to fulfil effluent water quality legal provisions with minimal energy consumption. In order to achieve this goal EPSAC control methodology has been applied to the wastewater treatment process. Benchmark Simulation Model No. 1 (BSM1) has been used to simulate the process dynamics. Two types of control strategies were implemented and tested: predictive control without taking into account measured disturbances and predictive control with feedforward. Feedforward control with two measured disturbances (the influent flow rate and ammonium concentration) has been tested.
污水处理过程EPSAC (BSM1)
预测控制是工业应用领域中应用最广泛的先进控制算法之一。扩展预测自适应控制(EPSAC)是该算法家族的一部分,适用于污水处理厂的控制。这些工业过程的主要目标是以最小的能源消耗来满足污水质量的法律规定。为了实现这一目标,EPSAC控制方法已被应用于污水处理过程。采用基准仿真模型1 (BSM1)对过程动力学进行了仿真。实现并测试了两种控制策略:不考虑实测扰动的预测控制和具有前馈的预测控制。前馈控制与两个测量扰动(进水流量和铵浓度)进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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