System Behavior and Predictive Controller Performance Near the Azeotropic Region
High-purity distillation columns present challenges of nonlinearity, interactions, directionality, and ill-conditioning for the control systems and thus exhibit poor controller performance. Effects of these issues on the performance of model predictive control in operations in near-azeotropic region...
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Wiley-VCH Verlag
2018
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my.utp.eprints.216422018-08-01T02:13:30Z System Behavior and Predictive Controller Performance Near the Azeotropic Region Uddin, F. Tufa, L.D. Shah Maulud, A. Taqvi, S.A. High-purity distillation columns present challenges of nonlinearity, interactions, directionality, and ill-conditioning for the control systems and thus exhibit poor controller performance. Effects of these issues on the performance of model predictive control in operations in near-azeotropic regions are investigated. A dynamic model of a pilot-scale distillation column is simulated and controlled by a linear model predictive controller. As the system moves towards the azeotropic region, the nonlinearity, directionality, and interactions of the system increase. A significant decline is observed in the system control performance since the controller incurs overshoots and offsets for negative and positive setpoint changes. The integral time absolute errors are substantially higher near the azeotropic region. Only a small operating range is able to ensure sufficient controllability near the azeotropic region. © 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim Wiley-VCH Verlag 2018 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042178053&doi=10.1002%2fceat.201700282&partnerID=40&md5=04cbb512c0b49efc2bd1dabd2f909195 Uddin, F. and Tufa, L.D. and Shah Maulud, A. and Taqvi, S.A. (2018) System Behavior and Predictive Controller Performance Near the Azeotropic Region. Chemical Engineering and Technology, 41 (4). pp. 806-818. http://eprints.utp.edu.my/21642/ |
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High-purity distillation columns present challenges of nonlinearity, interactions, directionality, and ill-conditioning for the control systems and thus exhibit poor controller performance. Effects of these issues on the performance of model predictive control in operations in near-azeotropic regions are investigated. A dynamic model of a pilot-scale distillation column is simulated and controlled by a linear model predictive controller. As the system moves towards the azeotropic region, the nonlinearity, directionality, and interactions of the system increase. A significant decline is observed in the system control performance since the controller incurs overshoots and offsets for negative and positive setpoint changes. The integral time absolute errors are substantially higher near the azeotropic region. Only a small operating range is able to ensure sufficient controllability near the azeotropic region. © 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim |
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Article |
author |
Uddin, F. Tufa, L.D. Shah Maulud, A. Taqvi, S.A. |
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Uddin, F. Tufa, L.D. Shah Maulud, A. Taqvi, S.A. System Behavior and Predictive Controller Performance Near the Azeotropic Region |
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Uddin, F. Tufa, L.D. Shah Maulud, A. Taqvi, S.A. |
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Uddin, F. |
title |
System Behavior and Predictive Controller Performance Near the Azeotropic Region |
title_short |
System Behavior and Predictive Controller Performance Near the Azeotropic Region |
title_full |
System Behavior and Predictive Controller Performance Near the Azeotropic Region |
title_fullStr |
System Behavior and Predictive Controller Performance Near the Azeotropic Region |
title_full_unstemmed |
System Behavior and Predictive Controller Performance Near the Azeotropic Region |
title_sort |
system behavior and predictive controller performance near the azeotropic region |
publisher |
Wiley-VCH Verlag |
publishDate |
2018 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042178053&doi=10.1002%2fceat.201700282&partnerID=40&md5=04cbb512c0b49efc2bd1dabd2f909195 http://eprints.utp.edu.my/21642/ |
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