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Lookup NU author(s): Fahad Al Kalbani, Dr Jie ZhangORCiD
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Distillation columns are the major energy consumers in petrochemical and chemical industry and their efficient operation is essential for energy saving and product quality enhancement. This paper presents an inferential active disturbance rejection control (ADRC) method for product composition control in distillation columns. The proposed control strategy integrates ADRC with inferential feedback control. Tray temperatures are used to estimate the top and bottom product compositions which are difficult to measure on-line without time delay. In order to overcome the colinearity in the tray temperature data, principal component regression (PCR) is used to build the soft sensors, which are then integrated with ADRC. In order to overcome static control offsets caused by the discrepancy between soft sensor estimations and the true compositions, intermittent mean updating is used to correct PCR model predictions. The proposed technique is applied to a simulated methanol-water separation column. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Author(s): Al Kalbani F, Zhang J
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 9th IFAC Symposium on Advanced Control of Chemical Processes ADCHEM 2015
Year of Conference: 2015
Pages: 403-408
Print publication date: 01/01/2015
Online publication date: 25/09/2015
Acceptance date: 01/01/1900
ISSN: 2405-8963
Publisher: Elsevier
URL: http://dx.doi.org/10.1016/j.ifacol.2015.09.001
DOI: 10.1016/j.ifacol.2015.09.001
Series Title: IFAC-PapersOnLine
