Anaerobic Digestion Process Control Using a Data-Driven Internal Model Control Method
| Autor: | Ramon Vilanova, Montse Meneses, Larisa Condrachi, Marian Barbu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Technology
anaerobic digestion process data-driven control internal model control Control and Optimization Process (engineering) Computer science Control variable Internal model Energy Engineering and Power Technology Setpoint Biogas Process control Electrical and Electronic Engineering Engineering (miscellaneous) Reference model Data-driven control Renewable Energy Sustainability and the Environment Building and Construction Anaerobic digestion process Anaerobic digestion Internal model control Biochemical engineering Energy (miscellaneous) |
| Zdroj: | Energies, Vol 14, Iss 6746, p 6746 (2021) Dipòsit Digital de Documents de la UAB Universitat Autònoma de Barcelona Energies; Volume 14; Issue 20; Pages: 6746 |
| ISSN: | 1996-1073 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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