Modeling a Wind Turbine System Using DFIG and Realization of Current Control on the Model with Fuzzy Logic Controller

Fu, Ho-Ling; Thien, Huynh Thanh

doi:10.1007/978-3-642-41968-3_10

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…Doubly Fed Induction Generator (DFIG) is one of the most popular variable speed wind turbines in use nowadays because of its high performance in terms of systematic low cost, high energy efficiency, operating over a wide range of speed variation and extracting the maximum amount of power available. The complexity of its control was mainly due to the strong nonlinearity as a multiple-input multiple-output system, the existence of uncertainty of model parameters, the external disturbances [3]. In recent years, the Sliding Mode Control (SMC) method has been widely used for robust control of nonlinear systems.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Control Using Adaptive Fuzzy Sliding Mode Control of Doubly Fed Induction Generator for Wind Energy Conversion System

Cherifi

Miloud

2020

Period. Polytech. Elec. Eng. Comp. Sci.

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In this paper, we are interested in the development of a robust control of active and reactive power for a Doubly Fed Induction Generator for variable speed wind energy using hybrid control by Adaptive Fuzzy logic and Sliding Mode Controller (AFSMC). This type of control is introduced to avoid the major disadvantage of variable structures systems which is the chattering phenomenon. Using the variable structure is to ensure the high dynamic of convergence and the robustness towards parametric variations and disturbances. Whereas the fuzzy control is introduced here in order to remove residual vibrations in high frequencies. Simulation results show that the proposed control strategy gives better results.

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Section: Introductionmentioning

confidence: 99%

Hybrid Control Using Adaptive Fuzzy Sliding Mode Control of Doubly Fed Induction Generator for Wind Energy Conversion System

Cherifi

Miloud

2020

Period. Polytech. Elec. Eng. Comp. Sci.

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“…Un système de commande de haute performance demande en général une bonne réponse en régulation et en poursuite, qui doit être insensible aux variations des conditions d'opération et des paramètres du procédé. Les techniques de commande classique de type PI couvrent une large gamme dans les applications industrielles [6].…”

Section: Introductionunclassified

Performance de la commande des puissances active et réactive dans une éolienne basée sur une MADA

Tamaarat,

Benakcha

2017

J. Ren. Energies

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Le développement de la technologie éolienne à vitesse variable et à fréquence constante est devenu un domaine d'intérêt majeur aujourd'hui pour la production de l’énergie électrique. Ce travail est une contribution à l'étude de la génération de ce type d'énergie. Le système présenté ici est basé sur une machine asynchrone à double alimentation (MADA) relié au réseau de fréquence constante. Une commande vectorielle basée sur l’orientation du flux statorique de la machine est appliquée pour contrôler indépendamment les puissances active et réactive entre le stator et le réseau. Le contrôleur proposé génère les tensions de référence rotoriques nécessaires pour garantir leurs valeurs souhaitées. Dans cet article, afin de contrôler les deux puissances active et réactive, une étude comparative a été faite entre trois types de régulateurs (PI classique, flou et PI adaptatif par la logique floue) pour évaluer leurs performances en régimes dynamique et statique. L’ensemble du système éolien et sa commande ont été modélisés et simulés par Matlab. Les résultats montrent que, la commande PI adaptative proposée permet d'obtenir des performances de contrôle nettement améliorées, surtout par rapport à la commande PI conventionnelle.

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“…In [6] and [7], the authors proposed an adaptive control with fuzzy and neuro-fuzzy logic to adjust the gains of PI controllers. Other approaches were adopted to change the PI controllers for other controllers, namely polynomial RST based on pole placement theory and linear quadratic Gaussian [4], sliding mode [8], second-order sliding mode [9], and fuzzy logic [10]. * Correspondence: elmehdi.ardjoun@univ-sba.dz…”

Section: Introductionmentioning

confidence: 99%

Fuzzy sliding mode control applied to a doubly fed induction generator for wind turbines

Ardjoun¹,

Abid²

2015

Turk J Elec Eng & Comp Sci

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Abstract:In this paper an indirect vector control using fuzzy sliding mode control is proposed for a double-fed induction generator (DFIG), applied for a wind energy conversion system in variable speed. The objective is to independently control the active and reactive power generated by the DFIG, which is decoupled by the orientation of the flux. The sliding mode control finds its strongest justification for the problem concerning the use of a robust nonlinear control law for the model uncertainties. As far as the fuzzy mode control is concerned, it aims at reducing the chattering effect. The obtained results show the increasing interest of such control in this system

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Modeling a Wind Turbine System Using DFIG and Realization of Current Control on the Model with Fuzzy Logic Controller

Cited by 3 publications

References 5 publications

Hybrid Control Using Adaptive Fuzzy Sliding Mode Control of Doubly Fed Induction Generator for Wind Energy Conversion System

Hybrid Control Using Adaptive Fuzzy Sliding Mode Control of Doubly Fed Induction Generator for Wind Energy Conversion System

Performance de la commande des puissances active et réactive dans une éolienne basée sur une MADA

Fuzzy sliding mode control applied to a doubly fed induction generator for wind turbines

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