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  • Springer Science and Business Media LLC  (2)
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  • Springer Science and Business Media LLC  (2)
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  • 1
    Online Resource
    Online Resource
    Model predictive control-based robust stabilization of a chemical reactor
    Springer Science and Business Media LLC ; 2013
    In:  Chemical Papers Vol. 67, No. 9 ( 2013-01-1)
    Details
    In: Chemical Papers, Springer Science and Business Media LLC, Vol. 67, No. 9 ( 2013-01-1)
    Abstract: The paper addresses an approach to robust stabilization of chemical continuous stirred tank reactors. State feedback was used for the stabilization and the feedback controller was designed using the robust model-based predictive control algorithm in which the symmetric constraints on input and output variables are taken into account. The known strategy was modified by adding integral action to the controller. Parameters of robust feedback controllers with and without integral action were found as solutions of a constrained optimization problem solved on the infinite prediction horizon. The possibility to stabilize chemical reactors with uncertainty using the robust model-based predictive control has been verified by simulations and compared with the optimal linear quadratic control and the model-based predictive control. The obtained results confirm that the robust model-based predictive control provides better results than other approaches.
    Type of Medium: Online Resource
    ISSN: 1336-9075
    URL: Article
    DOI: 10.2478/s11696-012-0296-2
    Language: Unknown
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2013
    detail.hit.zdb_id: 2252770-9
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    Online Resource
  • 2
    Online Resource
    Online Resource
    Robust model-based predictive control of exothermic chemical reactor
    Springer Science and Business Media LLC ; 2015
    In:  Chemical Papers Vol. 69, No. 10 ( 2015-01-1)
    Details
    In: Chemical Papers, Springer Science and Business Media LLC, Vol. 69, No. 10 ( 2015-01-1)
    Abstract: A case study of the robust model-based predictive control (MPC) of an exothermic continuous stirred tank reactor (CSTR) with uncertain parameters is presented. Three robust MPC approaches are considered and the simulation results are compared in terms of quality of control performance and total consumption of coolant. The results reveal the main benefits of the considered approaches and confirm that the robust MPC can bring about a reduction in consumption of the coolant.
    Type of Medium: Online Resource
    ISSN: 1336-9075 , 0366-6352
    URL: Article
    DOI: 10.1515/chempap-2015-0146
    Language: Unknown
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2015
    detail.hit.zdb_id: 2252770-9
    detail.hit.zdb_id: 391411-2
    Location Call Number Limitation Availability
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    Online Resource
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