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System Behavior and Predictive Controller Performance Near the Azeotropic Region

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.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

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

Item Type:Article
Impact Factor:cited By 0
Uncontrolled Keywords:Controllers; Distillation; Model predictive control, Azeotropic distillation; Controller performance; High purity; High purity distillation columns; Integral time absolute errors; Nonlinearity; Pilot scale distillation; Predictive controller, Distillation columns
ID Code:21642
Deposited By: Ahmad Suhairi
Deposited On:01 Aug 2018 02:13
Last Modified:01 Aug 2018 02:13

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