Anaerobic digestion process control using a data-driven internal model control method
Condrachi, Larisa ("Dunărea de Jos" University of Galaţi)
Vilanova i Arbós, Ramon (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)
Meneses Benítez, Montserrat (Universitat Autònoma de Barcelona. Departament de Telecomunicació i Enginyeria de Sistemes)
Barbu, Marian ("Dunărea de Jos" University of Galaţi)

Date:	2021
Abstract:	Anaerobic digestion processes offer the possibility for wastewater treatment while obtaining a benefit through the obtained biogas. This paper aims to continue the effort to adopt data-driven control methods in the case of anaerobic digestion processes. The paper proposes a data-based Internal Model Control approach applied to an anaerobic digestion process. The paper deals extensively with the issue of choosing the reference model and proposing an engineering approach to this issue. The paper also addresses the issue of verifying robust stability, a very important aspect considering the uncertainties that characterize bioprocesses in general. The approach proposed in the paper is validated through a numerical simulation using the Anaerobic Digestion Model No. 1. During the validation of the proposed control solution, the main operating conditions were analyzed, such as the setpoint tracking performance, the rejection of disturbance generated by variations in the influent concentration, and the effect of the measurement noise on the controlled variable.
Grants:	Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/SGR-1202 Agencia Estatal de Investigación PID2019-105434RB-C33
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	Anaerobic digestion process ; Data-driven control ; Internal model control
Published in:	Energies, Vol. 14, Núm. 20 (October 2021) , art. 6746, ISSN 1996-1073

DOI: 10.3390/en14206746

21 p, 33.5 MB

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