Off-line improvement of multivariable model predictive control robustness

Author

Stoica, Cristina ; Rodríguez-Ayerbe, Pedro ; Dumur, Didier

Author_Institution

Supelec, Gif-sur-Yvette

fYear

2007

fDate

12-14 Dec. 2007

Firstpage

2826

Lastpage

2831

Abstract

This paper presents a unified off-line methodology to robustify an initial multivariable model predictive stabilizing controller through the convex optimization of a multivariable Youla parameter. The main innovative purpose is to guarantee robust stability under model unstructured uncertainties and nominal performance specifications for the disturbances rejection. This robustification technique is applied to the control of a stirred tank reactor to reduce the influence of unstructured uncertainties on the system, while respecting time-domain templates for disturbances rejection.

Keywords

chemical reactors; convex programming; multivariable control systems; predictive control; robust control; uncertain systems; convex optimization; disturbances rejection; model unstructured uncertainties; multivariable Youla parameter; multivariable model predictive control robustness; robustification technique; stabilizing controller; stirred tank reactor; Inductors; MIMO; Predictive control; Predictive models; Robust control; Robust stability; Robustness; Time domain analysis; Transfer functions; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 2007 46th IEEE Conference on

Conference_Location

New Orleans, LA

ISSN

0191-2216

Print_ISBN

978-1-4244-1497-0

Electronic_ISBN

0191-2216

Type

conf

DOI

10.1109/CDC.2007.4434591

Filename

4434591