Modélisation et commande prédictive flou robuste des convertisseurs DC-DC en utilisant le formalisme LMI

Abstract

Responding to the growing needs of power supply systems can be widely varied level of the DC voltage with good dynamic performances, the work presented in this thesis has been directed towards the implementation of a robust constrained predictive control strategy (RMPCC) on power DC-DC converters represented by T-S fuzzy models obtained by applying the method of sector nonlinearity,. Taking into account the variable structure of these switching systems, a fuzzy model of T-S is used to represent a non-linear system with a set of linear subsystems. The predictive control law presented in this work allows us to take into account constraints, type equality or inequality, setting as a LMI form, and to ensure stability and performance of the control law against of external disturbances acting on the system.