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Nonlinear Model Predictive Control of a Wastewater Treatment Process Fitted with a Submerged Membrane Bioreactor

Guilherme Araujo Pimentel 1, 2, 3 Alain Rapaport 2, 1 Alain Vande Wouwer 3 
1 MODEMIC - Modelling and Optimisation of the Dynamics of Ecosystems with MICro-organisme
CRISAM - Inria Sophia Antipolis - Méditerranée , MISTEA - Mathématiques, Informatique et STatistique pour l'Environnement et l'Agronomie
Abstract : Submerged membrane bioreactors are increasingly applied for wastewater treament but requires a tight control of the membrane fouling so as to ensure safe and efficient operation. The objective of this paper is to design a nonlinear model predictive control to minimize the irreversible resistance while keeping the trans-membrane pressure, which is a good indicator of membrane fouling, at an acceptable level. To this end, the manipulated variables are the permeate flow and the air scouring flow, which allows the material layer formed on the membrane (in short the “cake”) to be detached. The NMPC structure is tested in simulation considering a detailed simulator as the reference process, and a reduced-order model as the predictor. The results show that the process can be regulated until the irreversible resistance takes the main role in the fouling resistance. When this state is reached, a chemical cleaning is required, or a larger trans-membrane pressure has to be accommodated.
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Submitted on : Thursday, May 21, 2015 - 8:25:20 PM
Last modification on : Tuesday, October 25, 2022 - 4:21:01 PM
Long-term archiving on: : Tuesday, September 15, 2015 - 6:41:40 AM


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Guilherme Araujo Pimentel, Alain Rapaport, Alain Vande Wouwer. Nonlinear Model Predictive Control of a Wastewater Treatment Process Fitted with a Submerged Membrane Bioreactor. IFAC International Symposium on Advanced Control of Chemical Processes (ADCHEM 2015), International Federation of Automatic Control (IFAC). AUT., Jun 2015, Whistler, British Columbia, Canada. pp.1246-1251, ⟨10.1016/j.ifacol.2015.09.139⟩. ⟨hal-01154418⟩



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