Detection of anomalous behavior and performance assessment of predictive controllers

RACHID GHRAIZI,; CÉSAR DE PRADA; ERNESTO MARTÍNEZ

Cancún

Simposio; 8th Int. Symp. on Dynamics and Control of Process Systems, DYCOPS07, IFAC Meeting; 2007

International Federation of Automatic Control (IFAC)

This study focuses on performance assessment of model predictive control systems. A statistical methodology based on costs functions is proposed to determine a performance index which is amenable for monitoring an MPC using a benchmarking (historical) behavior and confidence control charts. The proposed methodology is used to evaluate a DMC used to control a chemical reactor when significant changes in the process dynamics and controller tuning are introduced.