INTEC   05402
INSTITUTO DE DESARROLLO TECNOLOGICO PARA LA INDUSTRIA QUIMICA
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Model Predictive Control for changing economic targets
Autor/es:
LIMÓN, DANIEL; FERRAMOSCA, ANTONIO; ALAMO, TEODORO; GONZÁLEZ, ALEJANDRO HERNÁN; ODLOAK, DARCI
Lugar:
Noordwijkerhout
Reunión:
Congreso; IFAC Conference on Nonlinear Model Predictive Control 2012 (NMPC'12); 2012
Resumen:
The objective of this paper is to present recent results on model predictive control
for tracking in the context of economic operation of a industrial plant. The well-established
hierarchical economic control is based on a Real Time Optimizer that calculates the economic
target to the advanced controller, in this case model predictive controllers. The change of
the economic parameters or constraints, or the existence of disturbances and modelling errors
make that this target may change throughout the plant evolution. The MPC for tracking is
an appealing formulation to deal with this issue since maintain the recursive feasibility and
convergence under any change of the target. Thus, this MPC formulation is summarized as well
as its properties. In virtue of these properties, it is demonstrated how the economic operation
can be improved by integrating the Steady State Target Optimizer in the MPC. Then it is
also shown how the proposed MPC can deal with practical problems such us zone control or
distributed control. Finally, the economic control of the plant can be enhanced by adopting
an economic MPC approach. A formulation capable to ensure economic optimality and target
tracking is also shown.