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

[Image: see text] The present study proposes a new PI controller tuning method using extended predictive control (EPC). The PI controller parameter values are calculated using the EPC controller output and its closed-loop response. This provides a simple and an effective tuning strategy which result...

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Autores principales: Yadav, Eadala Sarath, Indiran, Thirunavukkarasu, Priya, S. Shanmuga, Fedele, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2019
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921618/
https://www.ncbi.nlm.nih.gov/pubmed/31867517
http://dx.doi.org/10.1021/acsomega.9b02713
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author Yadav, Eadala Sarath
Indiran, Thirunavukkarasu
Priya, S. Shanmuga
Fedele, Giuseppe
author_facet Yadav, Eadala Sarath
Indiran, Thirunavukkarasu
Priya, S. Shanmuga
Fedele, Giuseppe
author_sort Yadav, Eadala Sarath
collection PubMed
description [Image: see text] The present study proposes a new PI controller tuning method using extended predictive control (EPC). The PI controller parameter values are calculated using the EPC controller output and its closed-loop response. This provides a simple and an effective tuning strategy which results in an improved closed-loop response compared to conventional tuning methods. The tuning methodology is applicable for single input single output and multi input multi output stable processes. Simulation and experimental results reveal the efficacy of the method under plant uncertainty conditions.
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spelling pubmed-69216182019-12-20 Parameter Estimation and an Extended Predictive-Based Tuning Method for a Lab-Scale Distillation Column Yadav, Eadala Sarath Indiran, Thirunavukkarasu Priya, S. Shanmuga Fedele, Giuseppe ACS Omega [Image: see text] The present study proposes a new PI controller tuning method using extended predictive control (EPC). The PI controller parameter values are calculated using the EPC controller output and its closed-loop response. This provides a simple and an effective tuning strategy which results in an improved closed-loop response compared to conventional tuning methods. The tuning methodology is applicable for single input single output and multi input multi output stable processes. Simulation and experimental results reveal the efficacy of the method under plant uncertainty conditions. American Chemical Society 2019-12-05 /pmc/articles/PMC6921618/ /pubmed/31867517 http://dx.doi.org/10.1021/acsomega.9b02713 Text en Copyright © 2019 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes.
spellingShingle Yadav, Eadala Sarath
Indiran, Thirunavukkarasu
Priya, S. Shanmuga
Fedele, Giuseppe
Parameter Estimation and an Extended Predictive-Based Tuning Method for a Lab-Scale Distillation Column
title Parameter Estimation and an Extended Predictive-Based Tuning Method for a Lab-Scale Distillation Column
title_full Parameter Estimation and an Extended Predictive-Based Tuning Method for a Lab-Scale Distillation Column
title_fullStr Parameter Estimation and an Extended Predictive-Based Tuning Method for a Lab-Scale Distillation Column
title_full_unstemmed Parameter Estimation and an Extended Predictive-Based Tuning Method for a Lab-Scale Distillation Column
title_short Parameter Estimation and an Extended Predictive-Based Tuning Method for a Lab-Scale Distillation Column
title_sort parameter estimation and an extended predictive-based tuning method for a lab-scale distillation column
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6921618/
https://www.ncbi.nlm.nih.gov/pubmed/31867517
http://dx.doi.org/10.1021/acsomega.9b02713
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