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

Shettigar, Prajwal J and Lochan, Kshetrimayum and Jeppu, Gautham and Palanki, Srinivas and Indiran, Thirunavukkarasu (2021) Development and Validation of Advanced Nonlinear Predictive Control Algorithms for Trajectory Tracking in Batch Polymerization. ACS Omega, 6. pp. 22857-22865. ISSN 2470-1343

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Official URL: http://pubs.acs.org/journal/acsodf

Abstract

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.

Item Type: Article
Uncontrolled Keywords: Batch reactor NMPC,MPC
Subjects: Engineering > MIT Manipal > Chemical
Engineering > MIT Manipal > Instrumentation and Control
Engineering > MIT Manipal > Mechatronics
Depositing User: MIT Library
Date Deposited: 10 Nov 2021 05:48
Last Modified: 10 Nov 2021 05:48
URI: http://eprints.manipal.edu/id/eprint/157685

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