Commande Intelligente Basée Sur Les Systèmes D'ordre Fractionnaire

Abstract

The goal of this thesis is to propose a design control laws based on the combination of advanced control techniques and fractional-order control (FOC), in our case the combination between the computational intelligence (CI) and FOC. This design strategy hardly ever been found in the specialized literature. This study's purpose can be summarized as follows: (1) The use of computational intelligence to improve the performance of the fractional-order PID (FOPID) controller. (2) Genetic algorithm (GAs) which are part of evolutionary algorithms (EAs) is used to adjust the controller parameters. (3) The proposed control laws have been applied to control time-delay systems and the liquid level in three tank process system. (4) The validity of the proposed techniques is proven by simulation results in MTLAB in terms of dynamic tracking and disturbance rejection.