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    STUDIA CHEMIA - Issue no. 2 / 2005  
         
  Article:   FIRST PRINCIPLES MODELING AND NONLINEAR OPTIMIZATION BASED ESTIMATION AND CONTROL OF A FLUID CATALYTIC CRACKING UNIT.

Authors:  ZOLTAN K. NAGY, RALUCA ROMAN, PAUL ŞERBAN AGACHI, FRANK ALLGÖWER. 		 
       
         
  Abstract:  In this paper the output feedback NMPC approach is illustrated on a simulated fluid catalytic cracking unit (FCCU). This approach considers the most important features of a real-time control algorithm, which are often overlooked in simulation studies, contouring thus a framework for practical NMPC implementation. The most important features considered in the approach are: state and parameter estimation, efficient solution of the optimization, and computational delay. In the output feedback NMPC approach used in this paper, only measurements that are available in practice are considered, whereas the rest of the states are estimated together with uncertain model parameters using a moving horizon estimation (MHE) technique. The importance of taking this computational delay into account will also be assessed and a real-time formulation of the control approach is describes that includes the computational delay in the NMPC approach. The advantages of the proposed real-time approach are assessed through the simulated industrial FCCU application.  
         
     
         
         
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