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Muti‐Objective Nonlinear Model Predictive Control of Semibatch Polymerization Reactors
Author(s) -
Morales Pilar,
FloresTlacuahuac Antonio
Publication year - 2012
Publication title -
macromolecular reaction engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.37
H-Index - 32
eISSN - 1862-8338
pISSN - 1862-832X
DOI - 10.1002/mren.201100074
Subject(s) - model predictive control , weighting , nonlinear system , control (management) , mathematical optimization , computer science , control theory (sociology) , pareto principle , mathematics , artificial intelligence , medicine , physics , quantum mechanics , radiology
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.