INTEC 05402
INSTITUTO DE DESARROLLO TECNOLOGICO PARA LA INDUSTRIA QUIMICA
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
On Economic Optimality of Model Predictive Control
Autor/es:
ANTONIO FERRAMOSCA; ALEJANDRO HERNAN GONZALEZ; DANIEL LIMON; GERMÁN A. BUSTOS; JOSÉ LUIS GODOY; JACINTO LUIS MARCHETTI
Lugar:
Buenos Aires
Reunión:
Congreso; 24 Congreso Argentino de Control Automático - AADECA '14; 2014
Resumen:
Model Predictive Control (MPC) is the most used advanced control strategy in the industries, mainly due to its
capability to fulfill economic objectives, taking into account a dynamic simplified model of the plant, constraints, and stability requirements. In the last years, several economic formulations of MPC have been presented, which get over the standard setpoint tracking formulation. The goal of this work is to provide, by means of application to a highly nonlinear plant, a comparison of different strategies, focusing mainly on economic optimality, computational burden, and economic performance.
