Comparison of Control Strategies for Dissolved Oxygen Control in Activated Sludge Wastewater Treatment Process

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dc.authoridYuceer, Mehmet/0000-0002-2648-3931
dc.authorwosidYuceer, Mehmet/E-5110-2012
dc.contributor.authorAkyurek, Evrim
dc.contributor.authorYuceer, Mehmet
dc.contributor.authorAtasoy, Ilknur
dc.contributor.authorBerber, Ridvan
dc.date.accessioned2024-08-04T20:31:15Z
dc.date.available2024-08-04T20:31:15Z
dc.date.issued2009
dc.departmentİnönü Üniversitesien_US
dc.description19th European Symposium on Computer Aided Process Engineering -- JUN 14-17, 2009 -- Cracow, POLANDen_US
dc.description.abstractSix control strategies; PID control, Model Predictive Control (MPC) with linear model, MPC with non-linear model, Nonlinear Autoregressive-Moving Average (NARMA-L2) control, Neural Network Model Predictive Control (NN-MPC) and optimal control with sequential quadratic programming (SQP) algorithm were evaluated via simulation of activated sludge wastewater treatment process. Controller performance assessment was based on rise time, overshoot, Integral Absolute Error (IAE) and Integral Square Error (ISE) performance criteria. As dissolved oxygen level in the aeration tank plays an important role in obtaining the effluent water quality, and in operating cost, it was chosen as the controlled variable. It was concluded consequently that NARMA-L2 controller and optimal control with SQP would outperform the others in achieving the specified objective.en_US
dc.description.sponsorshipEuropean Union FP6 project INNOVA-MED [INCO-CT-2006-517728]en_US
dc.description.sponsorshipThis work has been partially supported by the European Union FP6 project INNOVA-MED (Contract No. INCO-CT-2006-517728), for which the authors are grateful.en_US
dc.identifier.endpage1201en_US
dc.identifier.isbn978-0-444-53433-0
dc.identifier.issn1570-7946
dc.identifier.scopus2-s2.0-67649118227en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage1197en_US
dc.identifier.urihttps://hdl.handle.net/11616/94826
dc.identifier.volume26en_US
dc.identifier.wosWOS:000287727900194en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Science Bven_US
dc.relation.ispartof19th European Symposium on Computer Aided Process Engineeringen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectActivated sludge processen_US
dc.subjectMPCen_US
dc.subjectNeural Network MPCen_US
dc.subjectNARMA-L2en_US
dc.subjectOptimal controlen_US
dc.titleComparison of Control Strategies for Dissolved Oxygen Control in Activated Sludge Wastewater Treatment Processen_US
dc.typeConference Objecten_US

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