Adaptive control of the E. coli-specific growth rate in fed-batch cultivation based on oxygen uptake rate
In this study, an automatic control system is developed for the setpoint control of the cell biomass specific growth rate (SGR) in fed-batch cultivation processes. The feedback signal in the control system is obtained from the oxygen uptake rate (OUR) measurement-based SGR estimator. The OUR online...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-01-01
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| Series: | Computational and Structural Biotechnology Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2001037023004488 |
| _version_ | 1797384060128985088 |
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| author | Renaldas Urniezius Deividas Masaitis Donatas Levisauskas Arnas Survyla Povilas Babilius Dziuljeta Godoladze |
| author_facet | Renaldas Urniezius Deividas Masaitis Donatas Levisauskas Arnas Survyla Povilas Babilius Dziuljeta Godoladze |
| author_sort | Renaldas Urniezius |
| collection | DOAJ |
| description | In this study, an automatic control system is developed for the setpoint control of the cell biomass specific growth rate (SGR) in fed-batch cultivation processes. The feedback signal in the control system is obtained from the oxygen uptake rate (OUR) measurement-based SGR estimator. The OUR online measurements adapt the system controller to time-varying operating conditions. The developed approach of the PI controller adaptation is presented and discussed. The feasibility of the control system for tracking a desired biomass growth time profile is demonstrated with numerical simulations and fed-batch culture E.coli control experiments in a laboratory-scale bioreactor. The procedure was cross-validated with the open-loop digital twin SGR estimator, as well as with the adaptive control of the SGR, by tracking a desired setpoint time profile. The digital twin behavior statistically showed less of a bias when compared to SGR estimator performance. However, the adaptation—when using first principles—was outperformed 30 times by the model predictive controller in a robustness check scenario. |
| first_indexed | 2024-03-08T21:30:01Z |
| format | Article |
| id | doaj.art-4d1862825bf9412984dc4b8743de4d4c |
| institution | Directory Open Access Journal |
| issn | 2001-0370 |
| language | English |
| last_indexed | 2024-03-08T21:30:01Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computational and Structural Biotechnology Journal |
| spelling | doaj.art-4d1862825bf9412984dc4b8743de4d4c2023-12-21T07:32:34ZengElsevierComputational and Structural Biotechnology Journal2001-03702023-01-012157855795Adaptive control of the E. coli-specific growth rate in fed-batch cultivation based on oxygen uptake rateRenaldas Urniezius0Deividas Masaitis1Donatas Levisauskas2Arnas Survyla3Povilas Babilius4Dziuljeta Godoladze5Corresponding author.; Department of Automation, Kaunas University of Technology, Studentu 48, LT-51367 Kaunas, LithuaniaDepartment of Automation, Kaunas University of Technology, Studentu 48, LT-51367 Kaunas, LithuaniaDepartment of Automation, Kaunas University of Technology, Studentu 48, LT-51367 Kaunas, LithuaniaDepartment of Automation, Kaunas University of Technology, Studentu 48, LT-51367 Kaunas, LithuaniaDepartment of Automation, Kaunas University of Technology, Studentu 48, LT-51367 Kaunas, LithuaniaDepartment of Automation, Kaunas University of Technology, Studentu 48, LT-51367 Kaunas, LithuaniaIn this study, an automatic control system is developed for the setpoint control of the cell biomass specific growth rate (SGR) in fed-batch cultivation processes. The feedback signal in the control system is obtained from the oxygen uptake rate (OUR) measurement-based SGR estimator. The OUR online measurements adapt the system controller to time-varying operating conditions. The developed approach of the PI controller adaptation is presented and discussed. The feasibility of the control system for tracking a desired biomass growth time profile is demonstrated with numerical simulations and fed-batch culture E.coli control experiments in a laboratory-scale bioreactor. The procedure was cross-validated with the open-loop digital twin SGR estimator, as well as with the adaptive control of the SGR, by tracking a desired setpoint time profile. The digital twin behavior statistically showed less of a bias when compared to SGR estimator performance. However, the adaptation—when using first principles—was outperformed 30 times by the model predictive controller in a robustness check scenario.http://www.sciencedirect.com/science/article/pii/S2001037023004488Fed-batch cultureSpecific growth rateSetpoint controlAdaptive control |
| spellingShingle | Renaldas Urniezius Deividas Masaitis Donatas Levisauskas Arnas Survyla Povilas Babilius Dziuljeta Godoladze Adaptive control of the E. coli-specific growth rate in fed-batch cultivation based on oxygen uptake rate Computational and Structural Biotechnology Journal Fed-batch culture Specific growth rate Setpoint control Adaptive control |
| title | Adaptive control of the E. coli-specific growth rate in fed-batch cultivation based on oxygen uptake rate |
| title_full | Adaptive control of the E. coli-specific growth rate in fed-batch cultivation based on oxygen uptake rate |
| title_fullStr | Adaptive control of the E. coli-specific growth rate in fed-batch cultivation based on oxygen uptake rate |
| title_full_unstemmed | Adaptive control of the E. coli-specific growth rate in fed-batch cultivation based on oxygen uptake rate |
| title_short | Adaptive control of the E. coli-specific growth rate in fed-batch cultivation based on oxygen uptake rate |
| title_sort | adaptive control of the e coli specific growth rate in fed batch cultivation based on oxygen uptake rate |
| topic | Fed-batch culture Specific growth rate Setpoint control Adaptive control |
| url | http://www.sciencedirect.com/science/article/pii/S2001037023004488 |
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