Title :
Backstepping and T.S fuzzy control for induction machine
Author :
Boubzizi, Said ; Abid, Hafedh ; Kharrat, Maher ; Essounbouli, Najib ; Chaabane, Mohamed
Abstract :
In this paper, we present an application of a Takagi Sugeno (TS) Fuzzy logic backstepping control for enhancing performance of the machine drive. The equations states of induction machine are described in a d-q frame related to the rotating stator field. In the first step, the state feedback linearization technique is used for decoupling speed and flux controls. In the second step, we have been developed a control scheme basis of fuzzy backstepping. The simulation results in MATLAB environment show that the proposed scheme gives a satisfactory performance.
Keywords :
asynchronous machines; control nonlinearities; fuzzy control; machine control; motor drives; stators; MATLAB environment; T.S fuzzy control; Takagi Sugeno fuzzy logic control; backstepping control; d-q frame; decoupling speed; flux control; induction machine; machine drive; rotating stator field; state feedback linearization; Backstepping; Induction motors; Mathematical model; Resistance; Simulation; Stators; backstepping control; induction machine; motor drives;
Conference_Titel :
Sciences and Techniques of Automatic Control and Computer Engineering (STA), 2014 15th International Conference on
DOI :
10.1109/STA.2014.7086740
