Sliding Mode Fuzzy MPPT Controller of a Wind Turbine System Based on DFIG

2021 ◽  
pp. 604-612
Author(s):  
L. Saihi ◽  
F. Ferroudji ◽  
B. Berbaoui ◽  
K. Koussa ◽  
K. Roummani ◽  
...  
Keyword(s):  
Wind Turbine ◽  
Sliding Mode ◽  
Wind Turbine System ◽  
Mppt Controller

scholarly journals Improved Vector Control of a Counter-Rotating Wind Turbine System Using Adaptive Backstepping Sliding Mode

2020 ◽  
Vol 53 (5) ◽  
pp. 645-651
Author(s):  
Adil Yahdou ◽  
Abdelkadir Belhadj Djilali ◽  
Zinelaabidine Boudjema ◽  
Fayçal Mehedi
Keyword(s):  
Wind Turbine ◽  
Vector Control ◽  
Sliding Mode ◽  
Coupling Effect ◽  
Research Work ◽  
Adaptive Backstepping ◽  
Control Approach ◽  
Wind Turbine System ◽  
Dynamic Performances ◽  
Doubly Fed

The vector control (VC) method based on proportional-integral (PI) controllers of a doubly fed induction generator (DFIG) integrated in a counter rotating wind turbine (CRWT) system have many problems, such as low dynamic performances, coupling effect between the d-q axes and weak robustness against variation parametric. In order to resolve these problems, this research work proposes an adaptive backstepping sliding mode (ABSM) controller. The proposed control strategy consists in using dynamic-gains that ensures a better result than a conventional VC method. Stability of the proposed ABSM control approach has been proved by the Lyapunov method. Simulation results depicted in this research paper have confirmed the good usefulness and effectiveness of the proposed ABSM control.

scholarly journals A comparison study between fuzzy PWM and SVM inverter in NSMC control of stator active and reactive power control of a DFIG based wind turbine systems

2019 ◽  
Vol 8 (1) ◽  
pp. 78
Author(s):  
Habib Benbouhenni
Keyword(s):  
Power Control ◽  
Wind Turbine ◽  
Pulse Width Modulation ◽  
Reactive Power ◽  
Sliding Mode ◽  
Harmonic Distortion ◽  
Active Power ◽  
Wind Turbine System ◽  
Doubly Fed ◽  
Vector Modulation

In this work, we present a comparative study between space vector modulation (SVM) and fuzzy pulse width modulation (FPWM) technique in neuro-sliding mode control (NSMC) of stator reactive and stator active power control of the doubly fed induction generator (DFIG) for wind turbine system (WTS). Two controls approach using NSMC-SVM and NSMC-FPWM control scheme are proposed and compared. The validity of the proposed control techniques is verified by simulation tests of a DFIG. The reactive power, rotor current and stator active power is determined and compared in the above strategies. The obtained results showed that the proposed NSMC with FPWM strategy has stator reactive and active power with low powers ripples and low rotor current harmonic distortion than SVM technique.

scholarly journals Higher Control Scheme Using Neural Second Order Sliding Mode and ANFIS-SVM strategy for a DFIG-Based Wind Turbine

2019 ◽  
Vol 8 (2) ◽  
pp. 17
Author(s):  
Habib Benbouhenni ◽  
Zinelaabidine Boudjema ◽  
Abdelkader Belaidi
Keyword(s):  
Wind Turbine ◽  
Fuzzy Inference ◽  
Hybrid Control ◽  
Sliding Mode ◽  
Harmonic Distortion ◽  
Second Order ◽  
Inference System ◽  
Wind Turbine System ◽  
Control Scheme ◽  
Second Order Sliding Mode

In this paper, we propose an advanced control scheme using neural second order sliding mode (NSOSMC) and adaptive neuro-fuzzy inference system space vector modulation (ANFIS-SVM) strategy for a doubly fed induction generator (DFIG) integrated into a wind turbine system (WTS). The used hybrid control system composed of artificial intelligence techniques and second-order sliding mode applied to ensure better powers performances provided by the WTS. The obtained simulation results showed that the proposed control structure has active and reactive powers with low ripples and low stator current harmonic distortion.

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