CIFASIS 20631
CENTRO INTERNACIONAL FRANCO ARGENTINO DE CIENCIAS DE LA INFORMACION Y DE SISTEMAS
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Plant-Wide Control Based on Minimum Square Deviation
Autor/es:
DAVID ZUMOFFEN; GONZALO MOLINA; MARTA BASUALDO
Lugar:
Leuven
Reunión:
Simposio; 9th International Symposium on Dynamics and Control of Process Systems; 2010
Institución organizadora:
International Federation of Automatic Control
Resumen:
In this work a new systematic and generalized strategy to solve the MIMO plantwidecontrol problem is proposed. The methodology called Minimum Square Deviation (MSD)considers several points such as the optimal sensor location (OSL) based on the sum of squaredeviation (SSD) and the control structure selection (CSS) based on net load evaluation (NLE)problems simultaneously. Particularly, this work focuses on selecting the best MIMO controlstructure by using a new steady-state index called NLE. Thus, alternative control structurescan be obtained through di erent interaction levels and de ning a corresponding performanceimprovement. Two well-known chemical process are proposed here for testing this methodology.In addition, a robust stability analysis applying the classical mu-tool is performed by consideringboth parametric and unmodeled dynamic uncertainties.
