Retracted: Type-2 Fuzzy Logic Controller of a Doubly Fed Induction Machine

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

IAES International Journal of Artificial Intelligence (IJ-AI) ◽

10.11591/ijai.v4.i4.pp139-152 ◽

2015 ◽

Vol 4 (4) ◽

pp. 139 ◽

Cited By ~ 1

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.

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

International Journal of ADVANCED AND APPLIED SCIENCES ◽

10.21833/ijaas.2017.07.004 ◽

2017 ◽

Vol 4 (7) ◽

pp. 16-20 ◽

Cited By ~ 1

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

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

International Journal of Power Electronics and Drive Systems (IJPEDS) ◽

10.11591/ijpeds.v7.i3.pp665-676 ◽

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.

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

International Journal of Electrical and Computer Engineering (IJECE) ◽

10.11591/ijece.v11i5.pp3782-3790 ◽

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>

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Higher Performance of the Type 2 Fuzzy Logic Controller for Direct Power Control of Wind Generator Based on a Doubly Fed Induction Generator in Dynamic Regime

Artificial Intelligence in Renewable Energetic Systems - Lecture Notes in Networks and Systems ◽

10.1007/978-3-319-73192-6_22 ◽

2018 ◽

pp. 215-223

Author(s):

Belkacem Belabbas ◽

Tayeb Allaoui ◽

Mohamed Tadjine ◽

Mouloud Denaï

Keyword(s):

Fuzzy Logic ◽

Power Control ◽

Fuzzy Logic Controller ◽

Dynamic Regime ◽

Induction Generator ◽

Doubly Fed Induction Generator ◽

Direct Power ◽

Direct Power Control ◽

Doubly Fed

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A Robust Interval Type-2 Fuzzy Logic Controller for Variable Speed Wind Turbines Based on a Doubly Fed Induction Generator

Inventions ◽

10.3390/inventions6020021 ◽

2021 ◽

Vol 6 (2) ◽

pp. 21

Author(s):

Ahmed Vall Hemeyine ◽

Ahmed Abbou ◽

Anass Bakouri ◽

Mohcine Mokhlis ◽

Sidi Mohamed ould Mohamed El Moustapha

Keyword(s):

Fuzzy Logic ◽

Fuzzy Logic Controller ◽

Induction Generator ◽

Great Success ◽

Doubly Fed Induction Generator ◽

Variable Speed ◽

Doubly Fed ◽

Interval Type

This paper presents an implementation of a new robust control strategy based on an interval type-2 fuzzy logic controller (IT2-FLC) applied to the wind energy conversion system (WECS). The wind generator used was a variable speed wind turbine based on a doubly fed induction generator (DFIG). Fuzzy logic concepts have been applied with great success in many applications worldwide. So far, the vast majority of systems have used type-1 fuzzy logic controllers. However, T1-FLC cannot handle the high level of uncertainty in systems (complex and non-linear systems). The amount of uncertainty in a system could be reduced by using type-2 fuzzy logic since it offers better capabilities to handle linguistic uncertainties by modeling vagueness and unreliability of information. A new concept based on an interval type-2 fuzzy logic controller (IT-2 FLC) was developed because of its uncertainty management capabilities. Both these control strategies were designed and their performances compared for the purpose of showing the control most efficient in terms of reference tracking and robustness. We made a comparison between the performance of the type-1 fuzzy logic controller (T1-FLC) and interval type-2 fuzzy logic controller (IT2-FLC). The simulation results clearly manifest the height robustness of the interval type-2 fuzzy logic controller in comparison to the T1-FLC in terms of rise time, settling time, and overshoot value. The simulations were realized by MATLAB/Simulink software.

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