SciELO - Scientific Electronic Library Online

vol.17 issue4-7Leak detection in pipelines through spectral analysis of pressure signalsA planning model for petroleum refineries author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand




Related links


Brazilian Journal of Chemical Engineering

Print version ISSN 0104-6632On-line version ISSN 1678-4383


BOLSONI, A.; LIMA, E.L.  and  PINTO, J.C.. Advanced control of propylene polimerizations in slurry reactors. Braz. J. Chem. Eng. [online]. 2000, vol.17, n.4-7, pp.565-574. ISSN 0104-6632.

The objective of this work is to develop a strategy of nonlinear model predictive control for industrial slurry reactors of propylene polymerizations. The controlled variables are the melt index (polymer quality) and the amount of unreacted monomer (productivity). The model used in the controller presents a linear dynamics and a nonlinear static gain given by a neuronal network MLP (multilayer perceptron). The simulated performance of the controller was evaluated for a typical propylene polymerization process. It is shown that the performance of the proposed control strategy is much better than the one obtained with the use of linear predictive controllers for setpoint tracking control problems.

Keywords : Predictive Control; Polymerization Reactors; Neural Networks; Melt Index.

        · text in English


Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License