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- W2182788903 abstract "In the first part of this paper, that appeared in the last issue, an efficient approach for the online optimization in nonlinear model predictive control (NMPC), the so called real-time iteration scheme, was introduced. In the present second part we confirm experimentally the efficiency of the proposed strategy considering the control of a pilot-scale distillation column. In the experiments the column is used for the high-purity separation of a binary mixture of methanol and n-propanol. The differential-algebraic first principles model used for control is stiff and has more than 200 states. Despite the large state dimension the algorithm is able to provide newly optimized control inputs every 20 seconds on a standard PC. Even for rather large disturbances and without the need for much tuning the closed-loop shows good performance and does respect the required constraints. The presented results demonstrate that nonlinear model predictive control can even be applied for the control of large-scale systems and does lead to satisfying performance, if the outlined solution approach is used. Im ersten Teil der vorliegenden Arbeit, der in der letzten Ausgabe at 12(2002) erschienen ist, wurde ein effizientes Verfahren fur die Echtzeit-Optimierung in der nichtlinearen pradiktiven Regelung (NMPC) vorgestellt, das sogenannte Echtzeit-Iterations-Schema. Im vorliegenden zweiten Teil wird anhand der Regelung einer Destillationskolonne im Pilotanlagenmasstab experimentell die Effizienz des vorgestellten Verfahrens bestatigt. In den Experimenten wird die Kolonne zur hochreinen Trennung eines binaren Gemisches aus Methanol und n-Propanol verwendet. Das zur Regelung verwendete differentiell-algebraische Systemmodell ist steif und besitzt mehr als 200 Systemzustande. Trotz der hohen Systemordnung ist der Algorithmus in der Lage, auf einem Standard PC alle 20 Sekunden neuoptimierte Steuergrosen zur Verfugung zu stellen. Selbst fur sehr grose Storungen zeigt der geschlossene Kreis gutes Regelungsverhalten und erfullt die geforderten Beschrankungen, wobei der notwendige Aufwand zur Einstellung der Reglerparameter minimal ist. Die prasentierten Ergebnisse zeigen, dass die nichtlineare pradiktive Regelung bei Verwendung des vorgestellten Verfahrens auch fur grose Systeme einsetzbar ist und zu guten Regelungsergebnissen fuhrt." @default.
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- W2182788903 title "An Efficient Algorithm for Nonlinear Model Predictive Control of Large-Scale Systems Part II: Experimental Evaluation for a Distillation Column Ein effizienter Algorithmus für die nichtlineare prädiktive Regelung großer Systeme Teil II: Experimentelle Erprobung an einer Destillationskolonne" @default.
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