Sobre la Optimalidad Económica del Control Predictivo Basado en Modelo (On Economic Optimality of Model Predictive Control)

Antonio Ferramosca (, Alejandro González (), Daniel Limón (), Germán Bustos (), José Luis Godoy (), Jacinto Marchetti ()

Instituto de Desarrollo Tecnológico para la Industria Química, CONICET
This paper appears in: Revista IEEE América Latina

Publication Date: Oct. 2014
Volume: 12,   Issue: 7 
ISSN: 1548-0992

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.

Index Terms:
Model Predictive Control, Economics, Real Time Optimization   

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