Power factor control of a doubly fed induction machine using fuzzy logic

2002 ◽  
Author(s):  
Eel-Hwan Kim ◽  
Jae-Hong Kim ◽  
Gil-Su Lee
Keyword(s):  
Fuzzy Logic ◽  
Power Factor ◽  
Induction Machine ◽  
Doubly Fed Induction Machine ◽  
Doubly Fed ◽  
Power Factor Control

Self-Tuning Fuzzy Based PI Controller for DFIM Powered by Two Matrix Converters

2016 ◽  
Vol 7 (3) ◽  
pp. 665
Author(s):  
Abdelhakim Alalei ◽  
Abdeldjebar Hazzab ◽  
Ali Nesba
Keyword(s):  
Fuzzy Logic ◽  
Induction Machine ◽  
Pi Controller ◽  
Operating Conditions ◽  
Control Technique ◽  
Matrix Converters ◽  
The Matrix ◽  
Doubly Fed Induction Machine ◽  
Self Tuning ◽  
Doubly Fed

This paper presents a study of the Doubly Fed Induction Machine (DFIM) powered by two matrix converters; one connected to the stator windings and the other connected to the rotor windings. First, the mathematical model of DFIM and those of the matrix converters are developed. Then, the vector control technique is applied to the DFIM. Fuzzy logic is used in order to automatically adjust the parameters of the PI controller. The performance of this structure under different operating conditions is studied. Particular interest is given to the robustness of the fuzzy logic based control. The operation of the DFIM under overload conditions is also examined.  Simulation results obtained in MATLAB/Simulink environment are presented and discussed.

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 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.

Type-2 Fuzzy Logic Control of a Doubly-Fed Induction Machine (DFIM)

2015 ◽  
Vol 4 (4) ◽  
pp. 139 ◽  
Author(s):  
Loukal Keltoum ◽  
Benalia Leila
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Induction Machine ◽  
Operating Conditions ◽  
Logic Control ◽  
Doubly Fed Induction Machine ◽  
Doubly Fed ◽  
Interval Type

The fuzzy controllers have demonstrated their effectiveness in the control of nonlinear systems, and in many cases have established their robust and that their performance is less sensitive to parameter variations over conventional controllers. In this paper, Interval Type-2 Fuzzy Logic Controller (IT2FLC) method is proposed for controlling the speed with a direct stator flux orientation control of doubly-fed induction motor (DFIM), we made a comparison between the Type-1 Fuzzy Logic Control (T1FLC) and IT2FLC of the DFIM, first a modeling of DFIM is expressed in a (d-q) synchronous rotating frame. After the development and the synthesis of a stabilizing control laws design based on IT2FLC. We use this last approach to the control of the DFIM under different operating conditions such as load torque and in the presence of parameter variation. The obtained simulation results show the feasibility and the effectiveness of the suggested method.

scholarly journals Fuzzy Logic Control Contribution to the Rotor Speed Control of the Doubly Fed Induction Generator

2020 ◽  
Vol 9 (4) ◽  
pp. 540-546
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Induction Machine ◽  
Energy System ◽  
Pi Controller ◽  
Rotor Speed ◽  
Logic Control ◽  
Doubly Fed Induction Machine ◽  
Fuzzy Pi Controller ◽  
Doubly Fed

This paper presents the control of the wind energy system (WES), based on the doubly fed induction machine in generating mode (DFIG) using Artificial Intelligence (AI) technique based on fuzzy logic control. The performances of the conventional Integral Proportional (PI) and Fuzzy-PI controllers are compared with respect to the speed variation of the generator. The objective of the control strategy based on Fuzzy-PI controller is to ensure perfect tracking of the rotor speed and control the current regulation loops. The performances of the fuzzy-PI controller are studied via simulation on the Matlab/Simulink. We obtained perfect results that show the value of using a fuzzy PI controller

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