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Brazilian Journal of Chemical Engineering

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

Abstract

VEGA, M.P.; LIMA, E.L.  and  PINTO, J.C.. Control of a loop polymerization reactor using neural networks. Braz. J. Chem. Eng. [online]. 2000, vol.17, n.4-7, pp.471-482. ISSN 0104-6632.  http://dx.doi.org/10.1590/S0104-66322000000400012.

or multivariable non linear predictive control implementations, a hybrid-neural model (lumped model) was successfully used for modeling a loop-tubular polymerization reactor (a lumped or distributed model, depending on recycle ratio). Bifurcation diagrams were computed in order to investigate the agreement between process and model, of paramount importance for model based controller implementation purposes. Performance was evaluated considering the nonlinear model predictive control of both a loop tubular reactor (lumped) SISO problem and a tubular reactor (distributed) MIMO problem.

Keywords : hybrid-neural model; loop-tubular reactor; polymerization; nonlinear model predictive control.

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