Algorithms for Nonlinear Predictive Control Maximizing Penicillin Production Efficiency

0460758 - ÚTIA 2017 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Pčolka, M. - Čelikovský, Sergej
Algorithms for Nonlinear Predictive Control Maximizing Penicillin Production Efficiency.
Proceedings of the Americal Control Conference (ACC), Boston 2016. Vol. CFP16ACC-USB. Boston: IEEE, 2016, s. 3527-3532. ISBN 978-1-4673-8681-4.
[The American Control Conference (ACC) 2016. Boston (US), 06.07.2016-08.07.2016]
Grant CEP: GA ČR GA13-20433S
Institucionální podpora: RVO:67985556
Klíčová slova: nonlinear predictive control * optimization algorithms * system dynamics
Kód oboru RIV: BC - Teorie a systémy řízení

In this paper, maximization of efficiency of the penicillin production is addressed. To overcome the issues caused by the terminal time being an optimizable parameter, two adaptations of the Hamiltonian-based gradient method are proposed. The first algorithm incorporates the terminal time directly into the set of optimized variables while the second one makes use of a time scaling with optimizable time-dependent time scale being a virtual input. Both algorithms are verified on a set of numerical experiments and the obtained results show significant improvement of the penicillin production efficiency gained by their use, which suggests their exploitation within the industrial nonlinear predictive controllers for bioprocess optimization.
Trvalý link: http://hdl.handle.net/11104/0260951