65158e30686a8884346418fb15391467 energies_a2021v14n20p6746.pdf f86b08ad06141fd887a0d61f7b4726870d424105 energies_a2021v14n20p6746.pdf 68d75edf032f45381c4950c3698f4f25fcaf2daf62024b5b66414913e54a2211 energies_a2021v14n20p6746.pdf Title: Anaerobic Digestion Process Control Using a Data-Driven Internal Model Control Method Subject: 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. Keywords: anaerobic digestion process; data-driven control; internal model control Author: Larisa Condrachi, Ramón Vilanova, Montse Meneses and Marian Barbu Creator: LaTeX with hyperref Producer: pdfTeX-1.40.21 CreationDate: Thu Oct 21 04:21:25 2021 CEST ModDate: Thu Oct 21 04:28:36 2021 CEST Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 21 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 35159858 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- INWORZ+VnURWPalladioL Type 1 Custom yes yes no 10 0 LBCHCW+URWPalladioL-Ital Type 1 Custom yes yes no 15 0 WIXGFO+URWPalladioL-Bold Type 1 Custom yes yes no 20 0 TFAPJW+URWPalladioL-Roma Type 1 Custom yes yes no 24 0 SOZKOC+VnURWPalladioL-Bold Type 1 Custom yes yes no 28 0 QDIDFO+TimesNewRomanPS-BoldItalicMT Type 1C WinAnsi yes yes no 36 0 MCBCCI+SourceSansRoman-Regular Type 1C Custom yes yes no 58 0 MCBCCM+SourceSansRoman.613wght Type 1C Custom yes yes no 62 0 MCBCCO+SourceSansRoman-Bold Type 1C Custom yes yes no 66 0 SOSTRQ+CMR10 Type 1 Builtin yes yes no 78 0 EYMWFB+CMSY10 Type 1 Builtin yes yes no 82 0 HAIHNZ+CMEX10 Type 1 Builtin yes yes no 100 0 QQXUPP+PazoMath Type 1 Builtin yes yes no 104 0 SYFPBV+CMMI10 Type 1 Builtin yes yes no 108 0 YIFJPS+EURM10 Type 1 Builtin yes yes no 112 0 OYWCIV+EURM7 Type 1 Builtin yes yes no 116 0 Jhove (Rel. 1.22.1, 2019-04-17) Date: 2023-04-01 02:34:01 CEST RepresentationInformation: energies_a2021v14n20p6746.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2023-03-31 11:58:24 CEST Size: 35159858 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 448 FreeObjects: 45 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@44c8afef Item: Title: Materials and Methods Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7b69c6ba Children: Item: Title: The Anaerobic Digestion Process Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@46daef40 Item: Title: The Principle of the Data-Driven IMC Approach Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@12f41634 Item: Title: Results and Discussion Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@13c27452 Children: Item: Title: The Choice of the Reference Model Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@262b2c86 Item: Title: Design of the Control Structure Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@371a67ec Item: Title: Checking Robust Stability Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@5ed828d Item: Title: Validation by Simulation of the Designed Control Structure Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@50d0686 Item: Title: Conclusions Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7a3d45bd Item: Title: References Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@1e7c7811 Info: Title: Anaerobic Digestion Process Control Using a Data-Driven Internal Model Control Method Author: Larisa Condrachi, Ramón Vilanova, Montse Meneses and Marian Barbu Subject: 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. 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