MIMO robust predictive control applied to a three tanks system

This paper provides an application of linear and nonlinear multivariable robust predictive control to a three tanks system. The design of the nonlinear solution is based on a Multi-Input Multi-Output Nonlinear Auto Regressive with eXogenous outputs (MIMO-NARX) model and the linear controller conside...

Full description

Saved in:
Bibliographic Details
Published in2008 16th Mediterranean Conference on Control and Automation pp. 1880 - 1885
Main Authors Bouzouita, B., Bouani, F., Wertz, V., Ksouri, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2008
Subjects
Automation
Conferences
Genetic algorithms
min-max optimization problem
Robust predictive control
uncertain system
Online AccessGet full text

Cover

More Information
Summary:This paper provides an application of linear and nonlinear multivariable robust predictive control to a three tanks system. The design of the nonlinear solution is based on a Multi-Input Multi-Output Nonlinear Auto Regressive with eXogenous outputs (MIMO-NARX) model and the linear controller considers a MIMO Controlled Auto Regressive Integrated Moving Average (MIMO-CARIMA) model. Polytopic uncertainties and structured uncertainties are adopted in order to take into account the uncertain physical dynamics of the system. Using worst case strategy, the control law is obtained by the resolution of a min-max optimization problem. However, the performance criterion to be optimized is non-convex. A genetic algorithm is adopted to solve the control problem. The efficiency of the developed strategies is illustrated on a three tanks system.
ISBN:1424425042
9781424425044
DOI:10.1109/MED.2008.4602135