TY - JOUR
T1 - Development and Validation of Advanced Nonlinear Predictive Control Algorithms for Trajectory Tracking in Batch Polymerization
AU - Shettigar J, Prajwal
AU - Lochan, Kshetrimayum
AU - Jeppu, Gautham
AU - Palanki, Srinivas
AU - Indiran, Thirunavukkarasu
N1 - Funding Information:
The authors thank the Manipal Academy of Higher Education (MAHE) for providing the seed money grant toward the batch reactor experimental setup under Grant ID: 00000220 dated 1/1/2020. The authors express their sincere gratitude to Dr. J. Prakash, Anna University, Chennai, and Dr. Ravindra D Gudi, Indian Institute of Technology Bombay, for giving them valuable technical insights into real-time implementation.
Publisher Copyright:
© 2021 The Authors. Published by American Chemical Society.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85114689744
UR - https://www.scopus.com/pages/publications/85114689744#tab=citedBy
U2 - 10.1021/acsomega.1c03386
DO - 10.1021/acsomega.1c03386
M3 - Article
AN - SCOPUS:85114689744
SN - 2470-1343
VL - 6
SP - 22857
EP - 22865
JO - ACS Omega
JF - ACS Omega
IS - 35
ER -