In wastewater treatment, ammonium removal is a key step which can be done biologically. One method is by coupling a partial nitritation with the Anammox process. The partial nitritation goal is to convert half of the ...
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In wastewater treatment, ammonium removal is a key step which can be done biologically. One method is by coupling a partial nitritation with the Anammox process. The partial nitritation goal is to convert half of the ammonium into nitrite, so ammonium and nitrite can be later converted into dinitrogen gas by Anammox bacteria. To obtain a stable partial nitritation, ammonium oxidizing bacteria (AOB) have to prevail over nitrite oxidizing bacteria (NOB) so as to avoid further conversion of nitrite into nitrate. Two control objectives can be identified for partial nitritation: the repression of NOB and the regulation of the effluent to obtain the required nitrite to ammonium ratio. In this work, the equilibrium points of the partial nitrification process are analyzed to find operating conditions for AOB prevalence over NOB. based on this analysis, a feeding strategy is proposed to regulate the effluent nitrite to ammonium ratio at the value required by Anammox. The study is based on the process dynamical model in a reactor with biomass retention. (C) 2019, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
Heat transfer is the core of a combustion process. In the present work, motivated by the recent inclusion of optical instrumentation to perform in situ analysis or combustion diagnostics, we consider the modeling and ...
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Heat transfer is the core of a combustion process. In the present work, motivated by the recent inclusion of optical instrumentation to perform in situ analysis or combustion diagnostics, we consider the modeling and control of heat transfer by total radiation Rad(t), by taking information from Hammerstein and LTI modeling. We analyze the overall H-infinity-norm performance in open-loop and closed-loop, calculated around specific operational conditions for Hammerstein nominal model. From the results, we verify a significant uncertainty, and simultaneously we propose a robust closed-loop control of the Hammerstein nominal model able to handle the uncertainty in the models. (C) 2019, IFAC (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
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