Muti-Objective Nonlinear Model Predictive Control of Semibatch Polymerization Reactors

Authors

  • Pilar Morales,

    1. Departamento de Ingeniería y Ciencias Químicas, Universidad Iberoamericana, Prolongación Paseo de la Reforma 880, México D.F., 01210, México
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  • Antonio Flores-Tlacuahuac

    Corresponding author
    1. Departamento de Ingeniería y Ciencias Químicas, Universidad Iberoamericana, Prolongación Paseo de la Reforma 880, México D.F., 01210, México
    • Departamento de Ingeniería y Ciencias Químicas, Universidad Iberoamericana, Prolongación Paseo de la Reforma 880, México D.F., 01210, México.
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Abstract

A novel control system for semibatch polymerization reactors based on nonlinear MPC is proposed that is aimed to deal with more than one control objective. Commonly, multi-objective control problems are reduced to single objective problems, but better control can be achieved by solving the problem as a true multi-objective optimization problem because the interactions among the control goals are taken into account. Moreover, the selection of subjective weighting functions is avoided. The procedure is based on computing a trade-off solution among the control objectives that features the minimum distance from a given point on the Pareto front to the Utopia region. To illustrate the application of the multi-objective nonlinear MPC strategy two complex reaction systems are deployed.

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