INTEC   05402
INSTITUTO DE DESARROLLO TECNOLOGICO PARA LA INDUSTRIA QUIMICA
Unidad Ejecutora - UE
artículos
Título:
A gradient-based strategy for the one-layer RTO+MPC controller
Autor/es:
ALAMO, TEODORO; FERRAMOSCA, ANTONIO; GONZÁLEZ, ALEJANDRO HERNÁN; LIMÓN, DANIEL; ODLOAK, DARCI
Revista:
JOURNAL OF PROCESS CONTROL
Editorial:
ELSEVIER SCI LTD
Referencias:
Lugar: Amsterdam; Año: 2014 p. 435 - 447
ISSN:
0959-1524
Resumen:
In the process industries model predictive controllers (MPC) have the task ofcontrolling the plant ensuring stability and constraints satisfaction, while aneconomic cost is minimized. Usually the economic objective is optimized by anupper level Real Time Optimizer (RTO) that passes the economically optimalsetpoints to the MPC level. The drawback of this structure is the possible inconsistence/unreachability of those setpoints, due to the different models employedby the RTO and the MPC, as well as their different time scales. In this paperan MPC that explicitly integrates the RTO structure into the dynamic controllayer is presented. To overcome the complexity of this one-layer formulation agradient-based approximation is proposed, which provides a low-computationalcostsuboptimal solution.