eprintid: 16934
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/69/34
datestamp: 2023-12-19 03:23:25
lastmod: 2023-12-19 03:23:25
status_changed: 2023-12-19 03:07:09
type: article
metadata_visibility: show
creators_name: Fatima, S.A.
creators_name: Zabiri, H.
creators_name: Taqvi, S.A.A.
creators_name: Ramli, N.
creators_name: Maulud, A.S.
title: Intelligent Control of an Industrial Debutanizer Column
ispublished: pub
keywords: Adaptive control systems; Disturbance rejection; Fuzzy inference; Fuzzy neural networks; Intelligent control; Proportional control systems; Two term control systems, Adaptive neuro-fuzzy inference; Adaptive neuro-fuzzy inference system; Control design; Debutanizer columns; Intelligent techniques; Malaysia; Neuro-fuzzy inference systems; Product composition; Proportional integral derivatives; Uncertain dynamics, Fuzzy systems
note: cited By 2
abstract: A debutanizer column located at a refinery in Malaysia produces LPG as its top product and light naphtha as its bottom product. Control of the product compositions of the column is very important to maintain the desired purities. The current control design of the debutanizer column is based on the classical proportional integral derivative approach, which has been found to be less effective in controlling the variations in the column as the process is characterized by strong nonlinear and uncertain dynamics. Here, intelligent control based on an adaptive neuro-fuzzy inference system (ANFIS) is investigated and compared against an artificial neural network, for the special case of limited training data of the industrial debutanizer column. The ANFIS-based controller outperforms the other control configurations for both set point tracking and disturbance rejection cases and has better generalization performance even when trained with limited data samples. © 2022 Wiley-VCH GmbH
date: 2022
publisher: John Wiley and Sons Inc
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125037763&doi=10.1002%2fceat.202100039&partnerID=40&md5=ecdb61c61a2a103b3f76e5ad3954d026
id_number: 10.1002/ceat.202100039
full_text_status: none
publication: Chemical Engineering and Technology
volume: 45
number: 4
pagerange: 667-677
refereed: TRUE
issn: 09307516
citation:   Fatima, S.A. and Zabiri, H. and Taqvi, S.A.A. and Ramli, N. and Maulud, A.S.  (2022) Intelligent Control of an Industrial Debutanizer Column.  Chemical Engineering and Technology, 45 (4).  pp. 667-677.  ISSN 09307516