Optimal control for zinc solution purification based on interacting CSTR models

In zinc solution purification process, zinc dust is used to remove impurity ions in several serial stirred tank reactors. It is modelled by using several interacting continuously stirred tank reactor (ICSTR) systems with multiple time delays. Some unknown parameters of the ICSTR model are identified...

Full description

Bibliographic Details
Main Authors: Li, Yong, Gui, Weihua, Teo, Kok Lay, Zhu, Hong, Chai, Qinqin
Format: Journal Article
Published: Elsevier Science Ltd. 2012
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/10979
_version_ 1848747681864744960
author Li, Yong
Gui, Weihua
Teo, Kok Lay
Zhu, Hong
Chai, Qinqin
author_facet Li, Yong
Gui, Weihua
Teo, Kok Lay
Zhu, Hong
Chai, Qinqin
author_sort Li, Yong
building Curtin Institutional Repository
collection Online Access
description In zinc solution purification process, zinc dust is used to remove impurity ions in several serial stirred tank reactors. It is modelled by using several interacting continuously stirred tank reactor (ICSTR) systems with multiple time delays. Some unknown parameters of the ICSTR model are identified based on experimental data collected from a zinc production factory in China. Then a time delayed optimal control problem with continuous inequality constraints is constructed for the zinc solution purification. A numerical computational algorithm is developed, based on the control parameterization method, to design an optimal control law to ensure that a sufficiently low level of effluent impurities is achieved with the least zinc dust consumption. Finally, numerical simulation is carried out. The results obtained indicate that the effect of the optimal control for zinc solution purification is highly satisfactory.
first_indexed 2025-11-14T06:53:01Z
format Journal Article
id curtin-20.500.11937-10979
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T06:53:01Z
publishDate 2012
publisher Elsevier Science Ltd.
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-109792017-09-13T16:03:14Z Optimal control for zinc solution purification based on interacting CSTR models Li, Yong Gui, Weihua Teo, Kok Lay Zhu, Hong Chai, Qinqin Time delay Parameter identification Interacting continuously stirred tank reactors Zinc solution purification Boundary value problem Optimal control Numerical optimization algorithm In zinc solution purification process, zinc dust is used to remove impurity ions in several serial stirred tank reactors. It is modelled by using several interacting continuously stirred tank reactor (ICSTR) systems with multiple time delays. Some unknown parameters of the ICSTR model are identified based on experimental data collected from a zinc production factory in China. Then a time delayed optimal control problem with continuous inequality constraints is constructed for the zinc solution purification. A numerical computational algorithm is developed, based on the control parameterization method, to design an optimal control law to ensure that a sufficiently low level of effluent impurities is achieved with the least zinc dust consumption. Finally, numerical simulation is carried out. The results obtained indicate that the effect of the optimal control for zinc solution purification is highly satisfactory. 2012 Journal Article http://hdl.handle.net/20.500.11937/10979 10.1016/j.jprocont.2012.09.008 Elsevier Science Ltd. restricted
spellingShingle Time delay
Parameter identification
Interacting continuously stirred tank reactors
Zinc solution purification
Boundary value problem
Optimal control
Numerical optimization algorithm
Li, Yong
Gui, Weihua
Teo, Kok Lay
Zhu, Hong
Chai, Qinqin
Optimal control for zinc solution purification based on interacting CSTR models
title Optimal control for zinc solution purification based on interacting CSTR models
title_full Optimal control for zinc solution purification based on interacting CSTR models
title_fullStr Optimal control for zinc solution purification based on interacting CSTR models
title_full_unstemmed Optimal control for zinc solution purification based on interacting CSTR models
title_short Optimal control for zinc solution purification based on interacting CSTR models
title_sort optimal control for zinc solution purification based on interacting cstr models
topic Time delay
Parameter identification
Interacting continuously stirred tank reactors
Zinc solution purification
Boundary value problem
Optimal control
Numerical optimization algorithm
url http://hdl.handle.net/20.500.11937/10979