LAPSE:2023.5070
Published Article
LAPSE:2023.5070
Simple Gain-Scheduled Control System for Dissolved Oxygen Control in Bioreactors
Mantas Butkus, Donatas Levišauskas, Vytautas Galvanauskas
February 23, 2023
Abstract
An adaptive control system for the set-point control and disturbance rejection of biotechnological-process parameters is presented. The gain scheduling of PID (PI) controller parameters is based on only controller input/output signals and does not require additional measurement of process variables for controller-parameter adaptation. Realization of the proposed system does not depend on the instrumentation-level of the bioreactor and is, therefore, attractive for practical application. A simple gain-scheduling algorithm is developed, using tendency models of the controlled process. Dissolved oxygen concentration was controlled using the developed control system. The biotechnological process was simulated in fed-batch operating mode, under extreme operating conditions (the oxygen uptake-rate’s rapidly and widely varying, feeding and aeration rate disturbances). In the simulation experiments, the gain-scheduled controller demonstrated robust behavior and outperformed the compared conventional PI controller with fixed parameters.
Keywords
biotechnological cultivation process, dissolved oxygen concentration, gain-scheduling, mathematical model, PID (PI) control
Suggested Citation
Butkus M, Levišauskas D, Galvanauskas V. Simple Gain-Scheduled Control System for Dissolved Oxygen Control in Bioreactors. (2023). LAPSE:2023.5070
Author Affiliations
Butkus M: Department of Automation, Kaunas University of Technology, LT-51367 Kaunas, Lithuania
Levišauskas D: Department of Automation, Kaunas University of Technology, LT-51367 Kaunas, Lithuania
Galvanauskas V: Department of Automation, Kaunas University of Technology, LT-51367 Kaunas, Lithuania [ORCID]
Journal Name
Processes
Volume
9
Issue
9
First Page
1493
Year
2021
Publication Date
2021-08-25
ISSN
2227-9717
Version Comments
Original Submission
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PII: pr9091493, Publication Type: Journal Article
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LAPSE:2023.5070
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https://doi.org/10.3390/pr9091493
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