Control of a loop polymerization reactor using neural networks

被引：0

作者：

Vega, M.P. ^{[1
]}

Lima, E.L. ^{[1
]}

Pinto, J.C. ^{[1
]}

机构：

[1] Prog. de Engenharia Quim./COPPE, Univ. Federal do Rio de Janeiro, Cidade Universitária, CP: 68502, Rio de Janeiro - RJ, Brazil

来源：

Brazilian Journal of Chemical Engineering | 2000年 / 17卷 / 04期

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摘要：

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.

引用

页码：471 / 481

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