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

Other authors

Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial

Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control

Publication date

2017

Abstract

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.


Peer Reviewed


Postprint (published version)

Document Type

Conference report

Language

English

Publisher

Elsevier

Related items

https://www.sciencedirect.com/science/journal/15707946

info:eu-repo/grantAgreement/MINECO//DPI2014-58104-R/ES/CONTROL BASADO EN LA SALUD Y LA RESILIENCIA DE INFRAESTRUCTURAS CRITICAS Y SISTEMAS COMPLEJOS/

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Rights

Open Access

This item appears in the following Collection(s)

E-prints [72986]