Development and Validation of Advanced Nonlinear Predictive Control Algorithms for Trajectory Tracking in Batch Polymerization

Autor:	Thirunavukkarasu Indiran, Kshetrimayum Lochan, Prajwal Shettigar J, Gautham P. Jeppu, Srinivas Palanki
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	Computer science General Chemical Engineering Batch reactor Estimator General Chemistry Kalman filter Mechatronics Article Model predictive control Nonlinear system Chemistry Polymerization Trajectory Algorithm QD1-999
Zdroj:	ACS Omega, Vol 6, Iss 35, Pp 22857-22865 (2021) ACS Omega
ISSN:	2470-1343
Popis:	In this work, a computationally efficient nonlinear model-based control (NMBC) strategy is developed for a trajectory-tracking problem in an acrylamide polymerization batch reactor. The performance of NMBC is compared with that of nonlinear model predictive control (NMPC). To estimate the reaction states, a nonlinear state estimator, an unscented Kalman filter (UKF), is employed. Both algorithms are implemented experimentally to track a time-varying temperature profile for an acrylamide polymerization reaction in a lab-scale polymerization reactor. It is shown that in the presence of state estimators the NMBC performs significantly better than the NMPC algorithm in real time for the batch reactor control problem.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9f4d74ab749cd47d37a180c3582ecd4 https://doaj.org/article/4772fc4df50d49c295620cf608c3fa9e Zobrazit plný text záznamu