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 language | English |
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Title of host publication | 2019 IEEE Conference on Control Technology and Applications (CCTA) |
Publisher | IEEE |
Publication date | 2019 |
Pages | 933-938 |
ISBN (Print) | 978-1-7281-2768-2 |
ISBN (Electronic) | 978-1-7281-2767-5 |
DOIs | |
Publication status | Published - 2019 |
Event | 2019 IEEE Conference on Control Technology and Applications - City University of Hong Kong, Hong Kong, China Duration: 19 Aug 2019 → 21 Aug 2019 Conference number: 3 https://ccta2019.ieeecss.org/ |
Conference
Conference | 2019 IEEE Conference on Control Technology and Applications |
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Number | 3 |
Location | City University of Hong Kong |
Country/Territory | China |
City | Hong Kong |
Period | 19/08/2019 → 21/08/2019 |
Sponsor | City University of Hong Kong, Hong Kong Automatic Control Association, IEEE |
Internet address |