| Title |
Adaptive control of the E. coli-specific growth rate in fed-batch cultivation based on oxygen uptake rate / |
| Authors |
Urniezius, Renaldas ; Masaitis, Deividas ; Levisauskas, Donatas ; Survyla, Arnas ; Babilius, Povilas ; Godoladze, Dziuljeta |
| DOI |
10.1016/j.csbj.2023.11.033 |
| Full Text |
|
| Is Part of |
Computational and structural biotechnology journal.. Amsterdam : Elsevier. 2023, vol. 21, p. 5785-5795.. ISSN 2001-0370 |
| Keywords [eng] |
adaptive control ; fed-batch culture ; setpoint control ; specific growth rate |
| Abstract [eng] |
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. |
| Published |
Amsterdam : Elsevier |
| Type |
Journal article |
| Language |
English |
| Publication date |
2023 |
| CC license |
|
