Fuzzy Sliding Mode Control of DFIG applied to the WECS

Mazouz, F.; Belkacem, Sebti; Drid, Saïd; Chrifi‐Alaoui, Larbi; Çolak, İlhami

doi:10.1109/icsc47195.2019.8950675

Cited by 9 publications

(5 citation statements)

References 21 publications

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“…The algorithm (SOSMC), overcomes some disadvantage of the classical SMC, [13][14][15][16]. This reduces undulations, known as chattering; it can damage the actuators by too frequent oscillations and adversely affect the operation and performance of the system, [20][21][22][23][24]. Nevertheless, the drawback of the SOSMC algorithm is the difficulty of working out the gains of the sign function.…”

Section: Introductionmentioning

confidence: 99%

DPC- SVM of DFIG Using Fuzzy Second Order Sliding Mode Approach

2021

ijSmartGrid

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Conventional controller's methods, based on PI regulators, used as a direct power control (DPC) of the double feed induction generator (DFIG) are not robust enough in the face of parametric uncertainties and strong ripple of the powers. From the best evoked control techniques presented in this field to overcome these drawbacks, we will study some improvement variants such as the use of the second order sliding mode control (SOSMC) developed on the basis of the super twisting torsion algorithm (STA) associated with the fuzzy logic control to obtain (FSOSMC) in order to obtain acceptable performance. Finally, the effectiveness of the planned control system is studied using Matlab/Simulink. The proposed method reduces power ripples, improves driving dynamics by making it less sensitive to parameter uncertainty.

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Section: Introductionmentioning

confidence: 99%

DPC- SVM of DFIG Using Fuzzy Second Order Sliding Mode Approach

2021

ijSmartGrid

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“…FLC is a control strategy that uses fuzzy logic to map input variables to output variables [38,39]. FLC can handle nonlinear and uncertain systems and is used in various control applications such as HVAC (heating, ventilation and air conditioning) systems and robotics.…”

Section: Fuzzy Logic Control (Flc)mentioning

confidence: 99%

Literature review on the control of brushless doubly-fed induction machine

Ulrich Ngnassi Nguelcheu,

Ngasop Ndjiya,

Eric Duckler Kenmoe Fankem

et al. 2023

Global J. Eng. Technol. Adv.

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In recent years, dual-fed brushless asynchronous generators (BDFIG) have attracted considerable attention in variable-speed drive applications due to their simple and robust structure, good operating characteristics, and low maintenance requirements. The purpose of controlling dual-fed brushless induction generators is to achieve better performance. However, various control techniques applied to this machine have shown their limits in case of sudden fluctuations in rotor speed, relatively long response time, poor stability and high performance sensitivity to parameter fluctuations. Given its difficulty, research has focused on the most advanced technology in the world: artificial intelligence (AI). The main objective of this article is to list all the control techniques that have been applied to the BDFIG. It appears from our study that genetic algorithms as well as the multilayer perceptron have not yet been applied for the control of BDFIG.

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“…Thus the closed-loop transfer function G(p) can be expressed by: The principle of pole placement is to specify an arbitrary stable polynomial D(p) (corresponding to the denominator of the transfer functions in tracking and regulation) and to calculate S(p) and R(p) so that one obtains in accordance to the Bézout equation [8,10]…”

Section: Synthesis Of Pi Controllermentioning

confidence: 99%

“…However, it is not always easy to obtain good performance on the process controlled by PI, especially if this process has a significant pure delay, Its dynamic characteristics vary during operation. The RST regulator is a polynomial controller based on the theory of pole placement, it has the advantage of solving the problems encountered with the PI command [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Fuzzy Reference Signal Tracking Control of a Doubly Fed Induction Generator

2020

IJE

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This paper presents a hybrid scheme for the control of active and reactive powers using the direct vector control with stator flux orientation (SFO) of the DFIG. The hybrid scheme consists of Fuzzy logic, Reference Signal Tracking (F-RST) controllers. The proposed (F-RST) controller is compared with the classical Proportional-Integral (PI) and the Polynomial (RST) based on the pole placement theory. The various strategies are analyzed and compared in terms of tracking, robustness, and sensitivity to the speed variation. Simulations are done using MATLAB software. The simulation results prove that the proposed approach leads to good performances such as the tracking test, the rejection of disturbances and the robustness concerning the parameter variations. The hybrid controller is much more efficient compared to those of PI and RST controller, it also improves the performance of the powers and ensures some important strength despite the parameter variation of the DFIG.

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Fuzzy Sliding Mode Control of DFIG applied to the WECS

Cited by 9 publications

References 21 publications

DPC- SVM of DFIG Using Fuzzy Second Order Sliding Mode Approach

DPC- SVM of DFIG Using Fuzzy Second Order Sliding Mode Approach

Literature review on the control of brushless doubly-fed induction machine

Hybrid Fuzzy Reference Signal Tracking Control of a Doubly Fed Induction Generator

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