“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.

PDF PDF (3600 Kb)        DOI: 10.4173/mic.1997.2.5

DOI 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
[1] LJUNGQUIST, D. (1990). Online estimation in nonlinear state-space models with application to catalytic cracking, Dr.Ing. thesis. Report 90-89-W, Division of Engineering Cybernetics, NTH, Trondheim.
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  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},
  publisher={Norwegian Society of Automatic Control}