On economic optimality of Model Predictive Control

FERRAMOSCA, ANTONIO; GONZÁLEZ, ALEJANDRO HERNÁN; LIMÓN, DANIEL; BUSTOS, GERMÁN ANDRÉS

Buenos Aires

Congreso; XXIVº Congreso Argentino de Control Automático; 2014

Model Predictive Control (MPC) is the most used advanced controlstrategy in the industries, mainly due to its capability to fulfill economic objectives,taking into account a dynamic simplified model of the plant, constraints, and stabilityrequirements. In the last years, several economic formulation of MPC have beenpresented, which get over the standar setpoint-tracking formulation. The goal of thiswork is to provide, by means of application to a highly nonlinear plant, a comparisonof different strategies, focusing mainly on economic optimality, computational burden,economic performance.