Model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / Ilham Rustam

In the wake of fast soft computing processing, advances in hardware interface provisioning and demand over cost efficiency, a substantial acquiesce over the interests in nonlinear control and optimal process operation can been seen in recent academic and industrial study particularly in multivariabl...

Full description

Bibliographic Details
Main Author:	Rustam, Ilham
Format:	Book Section
Language:	English
Published:	Institute of Graduate Studies, UiTM 2016
Subjects:	Malaysia
Online Access:	http://ir.uitm.edu.my/id/eprint/19609/ http://ir.uitm.edu.my/id/eprint/19609/1/ABS_ILHAM%20RUSTAM%20TDRA%20VOL%209%20IGS%2016.pdf

id	uitm-19609
recordtype	eprints
spelling	uitm-196092018-06-07T02:28:45Z http://ir.uitm.edu.my/id/eprint/19609/ Model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / Ilham Rustam Rustam, Ilham Malaysia In the wake of fast soft computing processing, advances in hardware interface provisioning and demand over cost efficiency, a substantial acquiesce over the interests in nonlinear control and optimal process operation can been seen in recent academic and industrial study particularly in multivariable control processes. Among such are the distillation processes which are susceptible to various operation perturbations that would directly influence the desired end product outcome. There are several recorded control approaches that have been successfully employed to meet with the end product quality requirement however the current study put the bulk of its focus on a control approach performed based on the reflux ratio as manipulated variable with the top tray temperature as the controlled variable. It is recognized that there is a need to have an offline representation of the pilot plant to allow for anticipation of experiment results to reduce operation error, hence, the main purpose of this study. The pilot plant used as reference process platform in this study is a binary mixture, batch process bubble cap distillation column that suffers from the time-varying nature of its process. It is established that a valid nonlinear multivariable case study is presented by the process plant via a systematic experiment conducted to justify the adopted nonlinear system identification. The implementation of Nonlinear Auto-Regressive with eXogenous input (NARX) technique was then explored in this study to prove its reliability as a comprehensive system identification approach which has been cited across various recorded process identification platforms… Institute of Graduate Studies, UiTM 2016 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19609/1/ABS_ILHAM%20RUSTAM%20TDRA%20VOL%209%20IGS%2016.pdf Rustam, Ilham (2016) Model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / Ilham Rustam. In: The Doctoral Research Abstracts. IGS Biannual Publication, 9 (9). Institute of Graduate Studies, UiTM, Shah Alam.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Malaysia
spellingShingle	Malaysia Rustam, Ilham Model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / Ilham Rustam
description	In the wake of fast soft computing processing, advances in hardware interface provisioning and demand over cost efficiency, a substantial acquiesce over the interests in nonlinear control and optimal process operation can been seen in recent academic and industrial study particularly in multivariable control processes. Among such are the distillation processes which are susceptible to various operation perturbations that would directly influence the desired end product outcome. There are several recorded control approaches that have been successfully employed to meet with the end product quality requirement however the current study put the bulk of its focus on a control approach performed based on the reflux ratio as manipulated variable with the top tray temperature as the controlled variable. It is recognized that there is a need to have an offline representation of the pilot plant to allow for anticipation of experiment results to reduce operation error, hence, the main purpose of this study. The pilot plant used as reference process platform in this study is a binary mixture, batch process bubble cap distillation column that suffers from the time-varying nature of its process. It is established that a valid nonlinear multivariable case study is presented by the process plant via a systematic experiment conducted to justify the adopted nonlinear system identification. The implementation of Nonlinear Auto-Regressive with eXogenous input (NARX) technique was then explored in this study to prove its reliability as a comprehensive system identification approach which has been cited across various recorded process identification platforms…
format	Book Section
author	Rustam, Ilham
author_facet	Rustam, Ilham
author_sort	Rustam, Ilham
title	Model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / Ilham Rustam
title_short	Model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / Ilham Rustam
title_full	Model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / Ilham Rustam
title_fullStr	Model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / Ilham Rustam
title_full_unstemmed	Model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / Ilham Rustam
title_sort	model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / ilham rustam
publisher	Institute of Graduate Studies, UiTM
publishDate	2016
url	http://ir.uitm.edu.my/id/eprint/19609/ http://ir.uitm.edu.my/id/eprint/19609/1/ABS_ILHAM%20RUSTAM%20TDRA%20VOL%209%20IGS%2016.pdf
first_indexed	2023-09-18T23:02:55Z
last_indexed	2023-09-18T23:02:55Z
_version_	1777418293466890240

Model input and structure selection in multivariable dynamic modeling of batch distillation column pilot plant / Ilham Rustam

Similar Items