Improvement of adaptive fuzzy control to adjust speed for a doubly fed induction motor drive (DFIM)

Abstract

This paper presents the doubly fed induction motor (DFIM) speed control using adaptive fuzzy logic PI (AFLPI) controller to give better dynamic performances. Before the advent of modern technology, integral proportional based current controller is usually used due to its simplicity. But, the effectiveness of closed-loop control is widely affected by applied this type of controls, taking into account that the PI controllers have tuning problems. To overcome the problem, a new technique AFLPI based speed controller for direct field oriented control fed DFIM to get fast speed response and to minimize the torque ripple. The application of this type of control is very satisfactory to replace the conventional PI controller and, even the fuzzy logic PI (FLPI) controller. The performances of DFIM driving under the field-oriented application are simulated under different operating conditions using the AFLPI controller. The simulation results obtained with AFLPI are compared with those obtained in the case of the FLPI controller and the conventional PI controller. Accordingly, an improvement in dynamic and robustness is clearly appears in AFLPI controller simulation results compared to the others aforementioned controllers. Simulation Results are presented for the three techniques using Matlab/Simulink to prove the dynamic performances and robustness.