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dc.contributor.authorLi, Yong
dc.contributor.authorGui, Weihua
dc.contributor.authorTeo, Kok Lay
dc.contributor.authorZhu, Hong
dc.contributor.authorChai, Qinqin
dc.identifier.citationLi, Yong Gang and Gui, Wei Hua and Teo, Kok Lay and Zhu, Hong Qiu and Chai, Qin Qin. 2012. Optimal control for zinc solution purification based on interacting CSTR models. Journal of Process Control 22: pp. 1878-1889.

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.

dc.publisherElsevier Science Ltd.
dc.subjectTime delay
dc.subjectParameter identification
dc.subjectInteracting continuously stirred tank reactors
dc.subjectZinc solution purification
dc.subjectBoundary value problem
dc.subjectOptimal control
dc.subjectNumerical optimization algorithm
dc.titleOptimal control for zinc solution purification based on interacting CSTR models
dc.typeJournal Article
dcterms.source.titleJournal of Process Control
curtin.accessStatusFulltext not available

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