LPT-2009-21  [BibTeX]

Lynn Würth, James B. Rawlings, Wolfgang Marquardt:

Economic dynamic real-time optimization and nonlinear model-predictive control on infinite horizons

In: ADCHEM 2009 (International Symposium on Advanced Control of Chemical Processes), Istanbul, Turkey, 12-15.07.2009


Abstract:
This paper investigates the formulation of nonlinear model-predictive control problems with economic objectives on an infinite horizon. The proposed formulation guarantees nominal stability for closed-loop operation. Furthermore, a novel solution method of the infinite horizon method through a transformation of the independent time variable is employed. The closed-loop optimization with infinite horizon is compared to a finite-horizon formulation. A small case study is presented for illustration purposes.


Keywords:
Dynamic Real-Time Optimization, Economic Objective, Nonlinear Model-Predictive Control, Infinite Horizon, Stability


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Biochemical Engineering
Prof. Dr.-Ing. Büchs

Process Systems Engineering - PT
Prof. Dr.-Ing. Marquardt

Chemical Process Engineering
Prof. Dr.-Ing. Wessling

Mechanical Process Engineering
Prof. Dr.-Ing. Modigell

Thermal Process Engineering
acting head Prof. Dr.-Ing. Spieß

Enzyme Process Technology
Prof. Dr.-Ing. Spieß

Process Systems Engineering - SVT
Prof. Alexander Mitsos, Ph.D.

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