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Nonlinear Model Predictive Control pp 119–138Cite as

Optimizing Process Economic Performance Using Model Predictive Control

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Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 384))

Abstract

The current paradigm in essentially all industrial advanced process control systems is to decompose a plant’s economic optimization into two levels. The first level performs a steady-state optimization. This level is usually referred to as real-time optimization (RTO). The RTO determines the economically optimal plant operating conditions (setpoints) and sends these setpoints to the second level, the advanced control system, which performs a dynamic optimization. Many advanced process control systems use some form of model predictive control or MPC for this layer. The MPC uses a dynamic model and regulates the plant dynamic behavior to meet the setpoints determined by the RTO.

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Authors and Affiliations

  1. Department of Chemical and Biological Engineering, University of Wisconsin, Madison, WI,  

    James B. Rawlings & Rishi Amrit

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  1. James B. Rawlings
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  2. Rishi Amrit
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Editors and Affiliations

  1. Dipartimento di Informatica e Sistemistica, Universita’ di Pavia, via Ferrata 1, 27100 Pavia, Italy

    Lalo Magni

  2. Automatic Control Laboratory, ETH Zurich , ETL I 24.2, Physikstrasse 3, CH-8092, Zürich, Switzerland

    Davide Martino Raimondo

  3. Institute for Systems Theory and Automatic Control, University of Stuttgart, Pfaffenwaldring 9, 70550, Stuttgart, Germany

    Frank Allgöwer

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Rawlings, J.B., Amrit, R. (2009). Optimizing Process Economic Performance Using Model Predictive Control. In: Magni, L., Raimondo, D.M., Allgöwer, F. (eds) Nonlinear Model Predictive Control. Lecture Notes in Control and Information Sciences, vol 384. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01094-1_10

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  • DOI: https://doi.org/10.1007/978-3-642-01094-1_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01093-4

  • Online ISBN: 978-3-642-01094-1

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