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Title: Dynamic modelling and nonlinear model predictive control of a fluid catalytic cracking unit
Authors: Roman, Raluca
Nagy, Zoltan K.
Cristea, Mircea V.
Agachi, Serban P.
Keywords: Catalytic cracking
Dynamic modelling
Nonlinear model predictive control
Moving horizon estimator
Real-time control
Issue Date: 2009
Publisher: © Elsevier
Citation: ROMAN, R. ... et al, 2009. Dynamic modelling and nonlinear model predictive control of a fluid catalytic cracking unit. Computers & Chemical Engineering, 33 (3), pp. 605-617
Abstract: The paper presents the application of two nonlinear model predictive control (NMPC) approaches: quasi-infinite-horizon nonlinear MPC (QIHNMPC) and moving horizon estimator nonlinear MPC (MHE-NMPC) to the Fluid Catalytic Cracking Unit (FCCU). A complex dynamic model of the reactor–regenerator–fractionator system is developed and subsequently used in the controller. The novelty of the model consists in that besides the complex dynamics of the reactor–regenerator system, it also includes the dynamic model of the fractionator, as well as a five lumps kinetic model for the riser. Tight control is achieved using the QIHNMPC approach. The MHE-NMPC considers important features of a real-time control algorithm, resulting in a framework for practical NMPC implementation, such as: state and parameter estimation and efficient solution of the optimisation problem. In the NMPC approach, only measurements available in practice are considered, whereas the rest of the states are estimated together with uncertain model parameters, via MHE technique. Using an efficient numerical implementation based on the multiple shooting algorithm real-time feasibility of the approach is achieved. The incentives of the proposed approaches are assessed on the simulated industrial FCCU.
Description: This article was published in the Journal, Computers & Chemical Engineering [© Elsevier]. The definitive version is available at: www.elsevier.com/locate/compchemeng
Version: Accepted for publication
DOI: 10.1016/j.compchemeng.2008.08.007
URI: https://dspace.lboro.ac.uk/2134/4991
ISSN: 0098-1354
Appears in Collections:Published Articles (Chemical Engineering)

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