Economic Optimal Control of a U-loop Bioreactor using Simultaneous Collocation-based Approaches

Tobias K. S. Ritschel, Dimitri Boiroux, Marcus Krogh Nielsen, Jakob Kjøbsted Huusom, Sten Bay Jørgensen, John Bagterp Jørgensen

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Abstract

In this paper, we consider economic optimal control of single-cell protein (SCP) production in a U-loop reactor. The model of the U-loop reactor contains both ordinary and partial differential equations. Consequently, the optimal control problems are large-scale. The optimal operating profile for the SCP production is an unstable attractor. Therefore, we consider two simultaneous collocation-based approaches for solving the optimal control problems. We implement these two approaches in C, and we use IPOPT to solve the involved nonlinear program (NLP). Finally, we present a performance study that demonstrates the feasibility of solving economic optimal control problems that involve the U-loop reactor in real-time.
Original languageEnglish
Title of host publication2019 IEEE Conference on Control Technology and Applications (CCTA)
PublisherIEEE
Publication date2019
Pages933-938
ISBN (Print)978-1-7281-2768-2
ISBN (Electronic)978-1-7281-2767-5
DOIs
Publication statusPublished - 2019
Event2019 IEEE Conference on Control Technology and Applications - City University of Hong Kong, Hong Kong, China
Duration: 19 Aug 201921 Aug 2019
Conference number: 3
https://ccta2019.ieeecss.org/

Conference

Conference2019 IEEE Conference on Control Technology and Applications
Number3
LocationCity University of Hong Kong
Country/TerritoryChina
CityHong Kong
Period19/08/201921/08/2019
SponsorCity University of Hong Kong, Hong Kong Automatic Control Association, IEEE
Internet address

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