Dynamic Analysis and Control for a Bioreactor in Fractional Order

In this paper, a mathematical model was developed to describe the dynamic behavior of a bioreactor in which a fermentation process takes place. The analysis took into account the bioreactor temperature controlled by the refrigerant fluid flow through the reactor jacket. An optimal LQR control acting...

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Main Authors: Angelo M. Tusset, Danilo Inacio, Maria E. K. Fuziki, Priscilla M. L. Z. Costa, Giane G. Lenzi
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/14/8/1609
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author Angelo M. Tusset
Danilo Inacio
Maria E. K. Fuziki
Priscilla M. L. Z. Costa
Giane G. Lenzi
author_facet Angelo M. Tusset
Danilo Inacio
Maria E. K. Fuziki
Priscilla M. L. Z. Costa
Giane G. Lenzi
author_sort Angelo M. Tusset
collection DOAJ
description In this paper, a mathematical model was developed to describe the dynamic behavior of a bioreactor in which a fermentation process takes place. The analysis took into account the bioreactor temperature controlled by the refrigerant fluid flow through the reactor jacket. An optimal LQR control acting in the water flow through a jacket was used in order to maintain the reactor temperature during the process. For the control design, a reduced-order model of the system was considered. Given the heat transfer asymmetry observed in reactors, a model considering the fractional order heat exchange between the reactor and the jacket using the Riemann–Liouville differential operators was proposed. The numerical simulation demonstrated that the proposed control was efficient in maintaining the temperature at the desired levels and was robust for disturbances in the inlet temperature reactor. Additionally, the proposed control proved to be easy to apply in real life, bypassing the singularity problem and the difficulty of initial conditions for real applications that can be observed when considering Riemann–Liouville differential operators.
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spelling doaj.art-904b9bce957248c88de8a9c574017d752023-12-02T00:21:42ZengMDPI AGSymmetry2073-89942022-08-01148160910.3390/sym14081609Dynamic Analysis and Control for a Bioreactor in Fractional OrderAngelo M. Tusset0Danilo Inacio1Maria E. K. Fuziki2Priscilla M. L. Z. Costa3Giane G. Lenzi4Department of Production Engineering, Federal University of Technology-Paraná, Paraná-Doutor Washington Subtil Chueire St. 330, Ponta Grossa 84017-220, BrazilDepartment of Electrical Engineering, Federal University of Technology-Paraná, Paraná-Doutor Washington Subtil Chueire St. 330, Ponta Grossa 84017-220, BrazilDepartment of Chemical Engineering, State University of Maringá, Colombo Ave. 5790, Maringá 87020-900, BrazilDepartment of Production Engineering, Federal University of Technology-Paraná, Paraná-Doutor Washington Subtil Chueire St. 330, Ponta Grossa 84017-220, BrazilDepartment of Chemical Engineering, Federal University of Technology-Paraná, Paraná-Doutor Washington Subtil Chueire St. 330, Ponta Grossa 84017-220, BrazilIn this paper, a mathematical model was developed to describe the dynamic behavior of a bioreactor in which a fermentation process takes place. The analysis took into account the bioreactor temperature controlled by the refrigerant fluid flow through the reactor jacket. An optimal LQR control acting in the water flow through a jacket was used in order to maintain the reactor temperature during the process. For the control design, a reduced-order model of the system was considered. Given the heat transfer asymmetry observed in reactors, a model considering the fractional order heat exchange between the reactor and the jacket using the Riemann–Liouville differential operators was proposed. The numerical simulation demonstrated that the proposed control was efficient in maintaining the temperature at the desired levels and was robust for disturbances in the inlet temperature reactor. Additionally, the proposed control proved to be easy to apply in real life, bypassing the singularity problem and the difficulty of initial conditions for real applications that can be observed when considering Riemann–Liouville differential operators.https://www.mdpi.com/2073-8994/14/8/1609bioreactorsfractional-order modeloptimal control
spellingShingle Angelo M. Tusset
Danilo Inacio
Maria E. K. Fuziki
Priscilla M. L. Z. Costa
Giane G. Lenzi
Dynamic Analysis and Control for a Bioreactor in Fractional Order
Symmetry
bioreactors
fractional-order model
optimal control
title Dynamic Analysis and Control for a Bioreactor in Fractional Order
title_full Dynamic Analysis and Control for a Bioreactor in Fractional Order
title_fullStr Dynamic Analysis and Control for a Bioreactor in Fractional Order
title_full_unstemmed Dynamic Analysis and Control for a Bioreactor in Fractional Order
title_short Dynamic Analysis and Control for a Bioreactor in Fractional Order
title_sort dynamic analysis and control for a bioreactor in fractional order
topic bioreactors
fractional-order model
optimal control
url https://www.mdpi.com/2073-8994/14/8/1609
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AT priscillamlzcosta dynamicanalysisandcontrolforabioreactorinfractionalorder
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