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Economic Model Predictive Control of Aeration Systems in a Full Scale Biological Wastewater Treatment Plant

机译:全规模生物废水处理厂曝气系统的经济模型预测控制

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This work presents an economic model predictive control (EMPC) strategy for the control of the dissolved oxygen concentrations in the aerated reactors of a wastewater treatment plant located in Girona, Spain. The control strategy is investigated and evaluated based on the ASM1 simulation benchmark for performance assessment. In addition, the effect of the EMPC controller parameters such as the predictive horizon, the control horizon, the weights of input and the sample time are also investigated and studied. The obtained results applying the EMPC strategy for the control of the aeration system in the wastewater treatment plant show its effectiveness.
机译:该工作提出了一种经济模型预测控制(EMPC)策略,用于控制位于西班牙赫罗纳的废水处理厂的溶解氧浓度。根据绩效评估的ASM1仿真基准进行调查和评估控制策略。此外,还研究了EMPC控制器参数,例如预测地平线,控制地平线,输入的权重和采样时间的效果也被研究和研究。所得成果适用于废水处理厂中控制曝气系统的EMPC策略表明其有效性。

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