URI | http://purl.tuc.gr/dl/dias/9C188837-B841-42FB-8790-E6A589D29770 | - |
Αναγνωριστικό | https://doi.org/10.1016/j.compchemeng.2023.108212 | - |
Αναγνωριστικό | https://www.sciencedirect.com/science/article/pii/S0098135423000819 | - |
Γλώσσα | en | - |
Μέγεθος | 16 pages | en |
Τίτλος | Advanced model predictive control strategies for evaporation processes in the pharmaceutical industries | en |
Δημιουργός | Nașcu Ioana | en |
Δημιουργός | Diangelakis Nikolaos | en |
Δημιουργός | Διαγγελακης Νικολαος | el |
Δημιουργός | Garcia-Munoz Salvador | en |
Δημιουργός | Pistikopoulos Stratos | en |
Εκδότης | Elsevier | en |
Περίληψη | In this paper we present a framework to design control systems for an evaporation process in the pharmaceutical industry with the aim to deliver guaranteed operability for different molecules and under different thermodynamic scenarios. Based on a mathematical model developed within the gPROMS platform calibrated and validated with real data from experiments, three control methods are implemented and compared, (i) Proportional Integrative Derivative control (PID), (ii) Model Predictive Control (MPC) and (iii) explicit/multi-parametric Model Predictive Control (mp-MPC). The performance and limits of the derived control schemes are then established and tested for reference tracking as well as disturbances rejection. | en |
Τύπος | Peer-Reviewed Journal Publication | en |
Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
Ημερομηνία | 2025-09-05 | - |
Ημερομηνία Δημοσίευσης | 2023 | - |
Θεματική Κατηγορία | Evaporation process | en |
Θεματική Κατηγορία | Pharmaceuticals | en |
Θεματική Κατηγορία | Process control | en |
Θεματική Κατηγορία | PID | en |
Θεματική Κατηγορία | MPC | en |
Θεματική Κατηγορία | Multiparameric/explicit model based predictive control | en |
Βιβλιογραφική Αναφορά | I. Nașcu, N. A. Diangelakis, S. G. Muñoz, and E. N. Pistikopoulos “Advanced model predictive control strategies for evaporation processes in the pharmaceutical industries,” Comput. Chem. Eng., vol. 173, May 2023, doi: 10.1016/j.compchemeng.2023.108212. | en |