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

作者信息

Shettigar J Prajwal, Lochan Kshetrimayum, Jeppu Gautham, Palanki Srinivas, Indiran Thirunavukkarasu

机构信息

Department of Mechatronics Engineering, Department of Chemical Engineering, Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal 576104, India.

Department of Chemical and Biomedical Engineering, West Virginia University, Morgantown, West Virginia 26506, United States.

出版信息

ACS Omega. 2021 Aug 26;6(35):22857-22865. doi: 10.1021/acsomega.1c03386. eCollection 2021 Sep 7.

DOI:10.1021/acsomega.1c03386
PMID:34514257
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8427795/
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.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a57/8427795/f62d97580e5b/ao1c03386_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a57/8427795/a19aa0dc710e/ao1c03386_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a57/8427795/51d97fcc1a0a/ao1c03386_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a57/8427795/a3e4e0d17ee2/ao1c03386_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a57/8427795/fc4b2b11dce6/ao1c03386_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a57/8427795/f62d97580e5b/ao1c03386_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a57/8427795/a19aa0dc710e/ao1c03386_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a57/8427795/51d97fcc1a0a/ao1c03386_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a57/8427795/a3e4e0d17ee2/ao1c03386_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a57/8427795/fc4b2b11dce6/ao1c03386_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a57/8427795/f62d97580e5b/ao1c03386_0006.jpg

相似文献

[1]
Development and Validation of Advanced Nonlinear Predictive Control Algorithms for Trajectory Tracking in Batch Polymerization.

ACS Omega. 2021-8-26

[2]
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[3]
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[4]
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[5]
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[6]
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引用本文的文献

[1]
Q‑Learning-Based Multivariate Nonlinear Model Predictive Controller: Experimental Validation on Batch Reactor for Temperature Trajectory Tracking.

ACS Omega. 2025-6-26

[2]
CNN-LSTM-Based Nonlinear Model Predictive Controller for Temperature Trajectory Tracking in a Batch Reactor.

ACS Omega. 2024-11-12

[3]
Machine Learning Based Fault Classification in Pilot Plant Batch Reactor: Using Support Vector Machine.

ACS Omega. 2024-6-19

[4]
Neural Network-Based Hammerstein Model Identification of a Lab-Scale Batch Reactor.

ACS Omega. 2023-12-21

[5]
Development of a Nonlinear Model Predictive Control-Based Nonlinear Three-Mode Controller for a Nonlinear System.

ACS Omega. 2022-11-10

[6]
Wiener-Neural-Network-Based Modeling and Validation of Generalized Predictive Control on a Laboratory-Scale Batch Reactor.

ACS Omega. 2022-5-3

本文引用的文献

[1]
Data-Driven Modeling of a Pilot Plant Batch Reactor and Validation of a Nonlinear Model Predictive Controller for Dynamic Temperature Profile Tracking.

ACS Omega. 2021-6-21

[2]
Optimal Energy Consumption of the Distillation Process and Its Product Purity Analysis Using Ultraviolet Spectroscopy.

ACS Omega. 2020-12-31

[3]
Parameter Estimation and an Extended Predictive-Based Tuning Method for a Lab-Scale Distillation Column.

ACS Omega. 2019-12-5

[4]
Experimental validation of predictor-corrector approach based control schemes on the laboratory scale non-linear system.

ISA Trans. 2018-3-10

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