Adaptive and predictive control strategies for batch distillation: Development and experimental testing

Batch distillation is one of the most important separation processes used in many chemical industries. The dynamic nature and the nonlinear process behaviour poses challenging control system design when products of constant overhead purity are to be recovered. The present work describes the developm...

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Bibliographic Details
Published inComputers & chemical engineering Vol. 21; pp. S1227 - S1231
Main Authors Frattini Fileti, Ana M., Rocha Pereira, Joa˜o A.F.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 1997
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Summary:Batch distillation is one of the most important separation processes used in many chemical industries. The dynamic nature and the nonlinear process behaviour poses challenging control system design when products of constant overhead purity are to be recovered. The present work describes the development and testing of two computer based advanced control schemes. The computer-aided process operation allows the use of model-based methodologies of control. The developed adaptive and non-linear model predictive control made the conventional batch distillation column more efficient and easy to operate and the process control more accurate. Experiments performed on the pilot column confirm the simulation results.
ISSN:0098-1354
1873-4375
DOI:10.1016/S0098-1354(97)87670-3