Monitoring steady-state gains in large process systems under closed-loop operation

BUSTOS, GERMÁN ANDRÉS; GONZÁLEZ, ALEJANDRO HERNÁN; MARCHETTI, JACINTO LUIS

Oro Verde, Entre Ríos

Congreso; XIVº Reunión de Trabajo en Procesamiento de la Información y Control (RPIC); 2011

Facultad de Ingeniería, Bioingeniería y Bioinformática de la UNER

Stationary process gains are critical model parameters to determine targets in commercial MPC technologies. Consequently, important savings can be reached by acceding to an early prevention system capable of detecting if the actual process moves away from the modeled dynamics, particularly by indicating when the actual process gains are no more represented by those included in the model identified during commissioning stages. A subspace identification method, which works on closed-loop operation, is used here to estimate the gain system matrices. The main goal is to perform a closed-loop monitoring method capable of identifying those gains of a multivariable model that start to move from its original values. The anticipated knowledge of these events should prevent process engineers about the eventual reliability of targeting optimal process conditions with wrong gain estimations, and thus, help to localize the dynamic relationships for which an updating identification would be necessary.