scholarly journals New modified direct torque control-fuzzy logic controller of doubly fed induction machine

2017 ◽  
Vol 4 (7) ◽  
pp. 16-20 ◽  
Author(s):  
Abderrahim et al. ◽  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Direct Torque Control ◽  
Induction Machine ◽  
Torque Control ◽  
Doubly Fed Induction Machine ◽  
Doubly Fed

scholarly journals Fuzzy super twisting algorithm dual direct torque control of doubly fed induction machine

2021 ◽  
Vol 11 (5) ◽  
pp. 3782
Author(s):  
Boumaraf Farid ◽  
Boutabba Tarek ◽  
Belkacem Sebti
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode ◽  
Direct Torque Control ◽  
Induction Machine ◽  
Torque Control ◽  
Doubly Fed Induction Machine ◽  
Signum Function ◽  
Simulation Results ◽  
Doubly Fed ◽  
Twisting Algorithm

<span>This paper proposes the fundamental aspects of hybrid nonlinear control which is composed of the super twisting algorithm (STA) based second order sliding mode control applying fuzzy logic method (FSOSMC), with pertinent simulation results for a doubly fed induction machine (DFIM) drive. To minimize chattering effect phenomenon due to Signum function employed in sliding mode algorithm, a new method is proposed. This technique consists in replacing the signum function by fuzzy switching function in the SOSMC to minimize flux and torque ripples. This FSOSMC is associated to the double direct torque control DDTC of the doubly fed induction machine (DFIM) by combining the advantages of fuzzy logic (FL) and the advantages of super-twisting sliding mode. The FSOSMC-DDTC strategy is compared with a PI-DDTC and SOSMC-DDTC. Simulation results demonstrate good efficiency and excellent robustness of the hybrid nonlinear controller.</span>

scholarly journals 24 Sectors DTC Control with Fuzzy Hysteresis Comparators for DFIM Fed by the Three-level NPC Inverter

2022 ◽  
Vol 12 ◽  
pp. 141-154
Author(s):  
Abderrahmane Moussaoui ◽  
Habib Benbouhenni ◽  
Djilani Ben Attous
Keyword(s):  
Fuzzy Logic ◽  
Induction Motor ◽  
Fuzzy Logic Controller ◽  
Direct Torque Control ◽  
Control Process ◽  
Torque Control ◽  
Electromagnetic Torque ◽  
External Disturbances ◽  
Parameter Variations ◽  
Doubly Fed

This article presents 24 sectors direct torque control (DTC) with fuzzy hysteresis comparators for the doubly-fed induction motor (DFIM) using a three-level neutral point clamped (NPC) inverter. The designed DTC technique of the DFIM combines the advantages of the DTC strategy and fuzzy logic controller. The reaching conditions, stability, and robustness of the DFIM with the designed DTC technique are guaranteed. The designed DTC technique is insensitive to uncertainties, including parameter variations and external disturbances in the whole control process. Finally, the designed DTC technique with fuzzy hysteresis comparators is used to regulate the electromagnetic torque and the flux of the DFIM fed by the three-level NPC inverter and confirms the validity of the designed DTC technique. Results of simulations containing tests of robustness and tracking tests are presented.

scholarly journals Type-2 Fuzzy Logic Controller of a Doubly Fed Induction Machine

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Keltoum Loukal ◽  
Leila Benalia
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Induction Machine ◽  
Operating Conditions ◽  
Control Laws ◽  
Doubly Fed Induction Machine ◽  
And Performance ◽  
Doubly Fed ◽  
Interval Type

Interval type-2 fuzzy logic controller (IT2FLC) method for controlling the speed with a direct stator flux orientation control of doubly fed induction motor (DFIM) is proposed. The fuzzy controllers have demonstrated their effectiveness in the control of nonlinear systems, and in many cases it is proved that their robustness and performance are less sensitive to parameters variation over conventional controllers. The synthesis of stabilizing control laws design based on IT2FLC is developed. A comparative analysis between type-1 fuzzy logic controller (T1FLC) and IT2FLC of the DFIM is shown. Simulation results show the feasibility and the effectiveness of the suggested method to the control of the DFIM under different operating conditions such as load torque and in the presence of parameters variation.

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