INTEC   05402
INSTITUTO DE DESARROLLO TECNOLOGICO PARA LA INDUSTRIA QUIMICA
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
A GRADIENT-BASED ECONOMIC MPC SUITABLE FOR INDUSTRIAL APPLICATIONS
Autor/es:
ALAMO, TEODORO; FERRAMOSCA, ANTONIO; GONZÁLEZ, ALEJANDRO HERNÁN; LIMÓN, DANIEL; ODLOAK, DARCI
Reunión:
Congreso; XXIIIº Congreso Argentino de Control Automático, Buenos Aires, Argentina; 2012
Institución organizadora:
AADECA
Resumen:
Model predictive control (MPC) is typically implemented as a lower stage of a hierarchical control structure. The upper level stages - known as Real Time Optimizer (RTO) - are devoted to compute, by means of a stationary optimization, the targets that the dynamic control stage (MPC) should reach to economically optimize the operation of the process. A different alternative consist in incorporating the economic optimization performed by the RTO stage directly in the dynamic optimization that solves the MPC stage. In this way, a single stage control structure could be implemented, avoiding the frequent inconsistencies that shows the communication between the two stages. In this work a new MPC formulation that explicitly integrates the RTO structure into the dynamic control layer is presented. The main properties of the proposed strategy are the simplicity - provided that it uses a gradient-based approximation for the economic cost, the guarantee of stability and recursive feasibility and an extended domain of attraction. Several simulations of a subsystem of a fluid catalytic cracking (FCC) unit were performed to test the controller.