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A case study for control structure selection: air separation plant

JOURNAL OF PROCESS CONTROL 2000年第2-3期10卷 237-243页

作者： Trierweiler, JO Engell, S Univ Fed Rio Grande Sul Dept Chem Engn BR-90020061 Porto Alegre RS Brazil Univ Dortmund Dept Chem Engn Proc Control Grp D-44221 Dortmund Germany

The control structure selection for an air separation plant is discussed using the robust performance number (RPN) as a controllability index. The RPN indicates how potentially difficult it is for a given system to achieve the desired performance robustly. It reflects both the attainable performance of a system and its degree of directionality. The RPN criterion is compared with other well-known and new methodologies. These other criteria do not take the dynamic characteristics of the plant into account, hence they can be misleading. The predictions made by RPN are verified by closed loop simulations. The analysis was performed using a linear nominal model, but can be extended to include nonlinearities and uncertainties. (C) 2000 IFAC. Published by Elsevier Science Ltd. All rights reserved.

关键词： controllability measures air separation plant control structure selection (css) benchmark problem for css

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A Case Study for Control Structure Selection: Linde Air Separation Plant

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IFAC Proceedings Volumes 1998年第11期31卷 93-98页

作者： J.O. Trierweiler S. Engell Department of Chemical Engineering Federal University of Rio Grande do Sul (UFRGS) Rua Marechal Floriano 501 CEP: 90020-061 - Porto Alegre - RS - BRAZIL Process Control Group Department of Chemical Engineering University of Dortmund D-44221 Dortmund GERMANY E-MAIL:

The control structure selection for an air separation plant using the Robust Performance Number (RPN) as a controllability index is discussed. The RPN indicates how potentially difficult it is for a given system to achieve the desired performance robustly. It reflects both the attainable performance of a system and its degree of directionality. The RPN criterion is compared with other well-known and new methodologies. These other criteria do not take the dynamic characteristics of the plant into account, hence they can be misleading. The predictions made by RPN are verified by closed loop simulations. The analysis was performed using a linear nominal model, but can be extended to include nonlinearities and uncertainties as shown in (Trierweiler and Engell, 1997b).

关键词： controllability measures air separation plant control structure selection (css) benchmark problem for css

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