Population Balance Model-based Dynamic Multiobjective Optimization of Yeast Cell Manufacturing

Population Balance Model-based Dynamic Multiobjective Optimization of Yeast Cell Manufacturing

Biological systems play a key role in many advanced manufacturing processes, of which many have interesting nonlinear dynamics. We investigate a continuous yeast cell manufacturing process that produces sustained oscillations in outputs under nominal conditions. Using a population balance model to p...

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Bibliographic Details
Main Authors: Ganko, Krystian, Berliner, Marc D, Rhyu, Jinwook, Wu, Liang, Braatz, Richard D, Leyffer, Sven
Other Authors: Massachusetts Institute of Technology. Department of Chemical Engineering
Format: Article
Language:English
Published: Elsevier BV 2024
Online Access:https://hdl.handle.net/1721.1/157693
Description
Summary:Biological systems play a key role in many advanced manufacturing processes, of which many have interesting nonlinear dynamics. We investigate a continuous yeast cell manufacturing process that produces sustained oscillations in outputs under nominal conditions. Using a population balance model to perform dynamic optimization with multiple objectives and observability constraints, we quantify tradeoffs on the Pareto surface for varying the extent of process oscillations that the decision-maker deems tolerable (or desirable). Numerical optimal control design for oscillatory distributed parameter systems is discussed within the context of both dynamic optimization and on-line nonlinear model predictive control strategies.

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