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    Optimal control for zinc solution purification based on interacting CSTR models

    Access Status
    Fulltext not available
    Authors
    Li, Yong
    Gui, Weihua
    Teo, Kok Lay
    Zhu, Hong
    Chai, Qinqin
    Date
    2012
    Type
    Journal Article
    
    Metadata
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    Citation
    Li, 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.
    Source Title
    Journal of Process Control
    DOI
    10.1016/j.jprocont.2012.09.008
    ISSN
    09591524
    URI
    http://hdl.handle.net/20.500.11937/10979
    Collection
    • Curtin Research Publications
    Abstract

    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.

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