Cybernetic Model Predictive Control of a Continuous Bioreactor with Cell Recycle

The control of poly‐β‐hydroxybutyrate (PHB) productivity in a continuous bioreactor with cell recycle is studied by simulation. A cybernetic model of PHB synthesis in Alcaligenes eutrophus is developed. Model parameters are identified using experimental data, and simulation results are presented. Th...

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Bibliographic Details
Published in:Biotechnology progress 2003-09, Vol.19 (5), p.1487-1497
Main Authors: Gadkar, Kapil G., III, Francis J. Doyle, Crowley, Timothy J., Varner, Jeffrey D.
Format: Article
Language:English
Subjects:
Algorithms
Biological and medical sciences
Bioreactors - microbiology
Biotechnology
Cell Culture Techniques - methods
Computer Simulation
Cupriavidus necator - growth & development
Cupriavidus necator - metabolism
Cybernetics - methods
Energy Metabolism - physiology
Feedback
Fundamental and applied biological sciences. Psychology
Homeostasis - physiology
Hydroxybutyrates - metabolism
Models, Biological
Multienzyme Complexes - physiology
Polyesters - metabolism
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Summary:The control of poly‐β‐hydroxybutyrate (PHB) productivity in a continuous bioreactor with cell recycle is studied by simulation. A cybernetic model of PHB synthesis in Alcaligenes eutrophus is developed. Model parameters are identified using experimental data, and simulation results are presented. The model is interfaced to a multirate model predictive control (MPC) algorithm. PHB productivity and concentration are controlled by manipulating dilution rate and recycle ratio. Unmeasured time varying disturbances are imposed to study regulatory control performance, including unreachable setpoints. With proper controller tuning, the nonlinear MPC algorithm can track productivity and concentration setpoints despite a change in the sign of PHB productivity gain with respect to dilution rate. It is shown that the nonlinear MPC algorithm is able to track the maximum achievable productivity for unreachable setpoints under significant process/model mismatch. The impact of model uncertainty upon controller performance is explored. The multirate MPC algorithm is tested using three controllers employing models that vary in complexity of regulation. It is shown that controller performance deteriorates as a function of decreasing biological complexity.
ISSN:8756-7938
1520-6033
DOI:10.1021/bp025776d