LAPSE:2018.0302v1
Published Article
LAPSE:2018.0302v1
Multivariable Real-Time Control of Viscosity Curve for a Continuous Production Process of a Non-Newtonian Fluid
July 31, 2018
Abstract
The application of a multivariable predictive controller to the mixing process for the production of a non-Newtonian fluid is discussed in this work. A data-driven model has been developed to describe the dynamic behaviour of the rheological properties of the fluid as a function of the operating conditions using experimental data collected in a pilot plant. The developed model provides a realistic process representation and it is used to test and verify the multivariable controller, which has been designed to maintain viscosity curves of the non-Newtonian fluid within a given region of the viscosity-vs-shear rate plane in presence of process disturbances occurring in the mixing process.
The application of a multivariable predictive controller to the mixing process for the production of a non-Newtonian fluid is discussed in this work. A data-driven model has been developed to describe the dynamic behaviour of the rheological properties of the fluid as a function of the operating conditions using experimental data collected in a pilot plant. The developed model provides a realistic process representation and it is used to test and verify the multivariable controller, which has been designed to maintain viscosity curves of the non-Newtonian fluid within a given region of the viscosity-vs-shear rate plane in presence of process disturbances occurring in the mixing process.
Record ID
Keywords
multivariable control system, non-Newtonian fluid, viscosity curve
Subject
Suggested Citation
Mei R, Grosso M, Corominas F, Baratti R, Tronci S. Multivariable Real-Time Control of Viscosity Curve for a Continuous Production Process of a Non-Newtonian Fluid. (2018). LAPSE:2018.0302v1
Author Affiliations
Mei R: Dipartimento di Ingegneria Meccanica, Chimica e dei Materiali, Università degli Studi di Cagliari, Via Marengo 3, 09123 Cagliari, Italy
Grosso M: Dipartimento di Ingegneria Meccanica, Chimica e dei Materiali, Università degli Studi di Cagliari, Via Marengo 3, 09123 Cagliari, Italy
Corominas F: Procter & Gamble Eurocor N.V., Temselaan 100, 1853 Strombeek-Bever, Belgium
Baratti R: Dipartimento di Ingegneria Meccanica, Chimica e dei Materiali, Università degli Studi di Cagliari, Via Marengo 3, 09123 Cagliari, Italy [ORCID]
Tronci S: Dipartimento di Ingegneria Meccanica, Chimica e dei Materiali, Università degli Studi di Cagliari, Via Marengo 3, 09123 Cagliari, Italy [ORCID]
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Grosso M: Dipartimento di Ingegneria Meccanica, Chimica e dei Materiali, Università degli Studi di Cagliari, Via Marengo 3, 09123 Cagliari, Italy
Corominas F: Procter & Gamble Eurocor N.V., Temselaan 100, 1853 Strombeek-Bever, Belgium
Baratti R: Dipartimento di Ingegneria Meccanica, Chimica e dei Materiali, Università degli Studi di Cagliari, Via Marengo 3, 09123 Cagliari, Italy [ORCID]
Tronci S: Dipartimento di Ingegneria Meccanica, Chimica e dei Materiali, Università degli Studi di Cagliari, Via Marengo 3, 09123 Cagliari, Italy [ORCID]
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Journal Name
Processes
Volume
6
Issue
2
Article Number
E12
Year
2018
Publication Date
2018-01-30
ISSN
2227-9717
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Original Submission
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PII: pr6020012, Publication Type: Journal Article
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Published Article
LAPSE:2018.0302v1
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https://doi.org/10.3390/pr6020012
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Jul 31, 2018
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Jul 31, 2018
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