On Economic Optimality of Model Predictive Control

Ferramosca, Antonio
González, Alejandro Hernán
Limon, Daniel
Bustos, Germán Andrés
Godoy, José Luis
Marchetti, Jacinto Luis

Open link

Publication date

October 2014

DOI

10.1109/TLA.2014.6948858

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

ISSN

1548-0992

Journal

IEEE Latin America Transactions

Citation count (estimate)

Abstract

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 setpointtracking 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.Fil: Ferramosca, Antonio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Santa Fe. Institut...