Production-process optimization algorithm: Application to fed-batch bioprocess

0480928 - ÚTIA 2018 RIV NL eng J - Journal Article
Pčolka, M. - Čelikovský, Sergej
Production-process optimization algorithm: Application to fed-batch bioprocess.
Journal of the Franklin Institute-Engineering and Applied Mathematics. Roč. 354, č. 18 (2017), s. 8529-8551. ISSN 0016-0032. E-ISSN 1879-2693
R&D Projects: GA ČR(CZ) GA17-04682S
Institutional support: RVO:67985556
Keywords : Optimal control * Bioprocess * Optimization
OECD category: Automation and control systems
Impact factor: 3.576, year: 2017
http://library.utia.cas.cz/separaty/2018/TR/celikovsky-0480928.pdf

This paper presents a computationally tractable algorithm focusing on overall optimization of a production process. The proposed algorithm embraces both the input profile and the state initial conditions optimization and consists of three stages: (i) optimization of the input profile with constant initial conditions, (ii) reduction of the input profile complexity and (iii) joint optimization of the input profile parameters and state initial conditions. The newly proposed algorithm is compared with several alternatives on a series of numerical experiments representing penicillin cultivation process. As a part of the evaluation, a broader range of optimization periods is considered and not only the criterion but also the complexity of the provided input profiles is inspected. The obtained encouraging results show the superiority of the newly proposed solution and demonstrate the usefulness of the joint-optimization algorithm.
Permanent Link: http://hdl.handle.net/11104/0276583