“Model-predictive control and real-time optimization of a cat cracker unit”
Authors: Stig Strand and Lars Håkon Veland,Affiliation: Statoil
Reference: 1997, Vol 18, No 2, pp. 155-175.
Keywords: Model predictive control, on-line optimization, catalytic cracking
Abstract: A project for control and optimization of the Residual Catalytic Cracking Process at the Mongstad refinery is near completion. Four model-predictive control applications have been successfully implemented, using the IDCOM control software from Setpoint Inc. The most attractive feature of the controller is the well-defined control prioritizing hierarchy, and the linear impulse-response models have proved to give satisfactory performance on this process. Excitation and identification of the dynamic models proved to be a difficult task, and careful design and monitoring of the tests was mandatory in order to produce good results. Multi-variable Pseudo Random Binary Test Sequences were used for the excitation. Technical performance and operator acceptance of the new control functions have been good, but it is realized that a continuing effort is needed to fine-tune and maintain such functions.
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DOI: 10.4173/mic.1997.2.5DOI forward links to this article:
| [1] José Carlos Pinto (2001), doi:10.1002/cjce.5450790314 |
| [2] In-Su Han, James B. Riggs and Cbang-Bock Chung (2001), doi:10.1016/S1474-6670(17)33837-5 |
| [3] In-Su Han, Chang-Bock Chungz and James B. Riggs (2001), doi:10.1016/S1474-6670(17)33877-6 |
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BibTeX:
@article{MIC-1997-2-5,
title={{Model-predictive control and real-time optimization of a cat cracker unit}},
author={Strand, Stig and Veland, Lars Håkon},
journal={Modeling, Identification and Control},
volume={18},
number={2},
pages={155--175},
year={1997},
doi={10.4173/mic.1997.2.5},
publisher={Norwegian Society of Automatic Control}
};