On-line optimization of a model IV fluid catalytic cracking unit

This paper presents the application of an on-line constrained optimization algorithm to the simulation of a Model IV Fluid Catalytic Cracking Unit (the well known Amoco challenge problem proposed by McFarlane et al. Dynamic simulator for a model IV fluid catalytic cracking unit. Comp. & Chem. Engng. 17 (3) (1993) 275-300.). The original model is modified to include reaction yields by incorporating the model of an FCC by Lee and Groves, Mathematical model of the fluidized bed catalytic cracking plant. Trans. Sec. Comput. Simulat. 2 (1985) 219. The optimization algorithm, Supervisory Multivariable Constrained Optimization (SMCO) developed by (Daniel et al., An algorithm for supervisory multivariable constrained optimization of industrial processes. Chem. Engng. Comm. 130 (1994) 203-223.). is applied to the simulation of the FCC Unit and tested for feed composition and ambient temperature disturbances. SMCO is designed for on-line implementation in distributed control systems and to minimize a real cost function. (C) 1998 Elsevier Science Ltd. All rights reserved.