Model Predictive Control with Integrated Model Reduction for a Continuous Lactide Ring-Opening Polymerization Process - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue ACS Omega Année : 2022

Model Predictive Control with Integrated Model Reduction for a Continuous Lactide Ring-Opening Polymerization Process

Résumé

Poly(lactic acid) production has received an increasing attention, mainly due to its inherent biodegradable thermoplastic properties and to its renewable resources-based composition. This process is aected by changes in the operating conditions and by raw material impurities which inuence the reaction rate and degrade the polymer properties. As the system model is multivariable with coupled dynamics and constraints, Linear Model Predictive Control (LMPC) is employed here. A model reduction technique is proposed to obtain an approximate linear representation of the non-linear system around the operating point to minimize the calculation cost of the controller. The proposed LMPC approach is validated by simulation and is compared to a Proportional-Integral controller and a Non-linear Model Predictive Control. It is found that LMPC has a superior performance in terms of o-spec time when a disturbance occurs in the feed and it can restore the target conditions better and faster.
Fichier principal
Vignette du fichier
Afsi_Main_Document.pdf (671.33 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03579303 , version 1 (18-02-2022)

Identifiants

Citer

Nawel Afsi, Sami Othman, Toufik Bakir, Anis Sakly, Nida Sheibat-Othman. Model Predictive Control with Integrated Model Reduction for a Continuous Lactide Ring-Opening Polymerization Process. ACS Omega, 2022, pp.acsomega.1c06483. ⟨10.1021/acsomega.1c06483⟩. ⟨hal-03579303⟩
126 Consultations
28 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More