This papers deal with a new Adaptive Direct Power Control for Doubly-Fed Induction Generator of 1.5 MW. The main feature of the proposed strategy is based on the replacement of the fixed switching table by an adaptive one. The online update of the adaptive switching table depends on the reactive power variation and past switching sequences. The proposed adaptive direct power control is compared with Vector Control and Classical Direct Power Control. The robustness of the proposed control scheme against parameter, load and wind speed variations have done with success. The main performance of the Adaptive Direct Power Control strategy is the reduction of powers ripples, thus reduce of torque ripple on the shaft of the turbine.

This papers deal with a new Adaptive Direct Power Control for Doubly-Fed Induction Generator of 1.5 MW. The main feature of the proposed strategy is based on the replacement of the fixed switching table by an adaptive one. The online update of the adaptive switching table depends on the reactive power variation and past switching sequences. The proposed adaptive direct power control is compared with Vector Control and Classical Direct Power Control. The robustness of the proposed control scheme against parameter, load and wind speed variations have done with success. The main performance of the Adaptive Direct Power Control strategy is the reduction of powers ripples, thus reduce of torque ripple on the shaft of the turbine.

This papers deal with a new Adaptive Direct Power Control for Doubly-Fed Induction Generator of 1.5 MW. The main feature of the proposed strategy is based on the replacement of the fixed switching table by an adaptive one. The online update of the adaptive switching table depends on the reactive power variation and past switching sequences. The proposed adaptive direct power control is compared with Vector Control and Classical Direct Power Control. The robustness of the proposed control scheme against parameter, load and wind speed variations have done with success. The main performance of the Adaptive Direct Power Control strategy is the reduction of powers ripples, thus reduce of torque ripple on the shaft of the turbine.

Cette thèse traite la modélisation, le contrôle et la simulation d’un système de conversion d’énergie éolienne à base d’une machine synchrone à aimants permanents (GSAP) connectée au réseau. Il est nécessaire de lier cette génératrice avec la charge ou le réseau par des convertisseurs statiques susceptibles d’améliorer la qualité d’énergie en tension et fréquence en utilisant des techniques adéquates de commande. L’étude consiste à implémenter des stratégies de contrôle pour assurer une meilleure qualité d’énergie. Après la modélisation de la cha{\^ıne de conversion d’énergie éolienne complète avec exploitation de la commande MPPT, une application de la commande directe du couple basée sur des régulateurs à hystérésis et la commande DTC-SVM sont introduites à la machine pour mettre en évidences les performances de ces dernières. D’après les résultats de simulation obtenus, la commande DTC-SVM présente de meilleures performances par rapport à la DTC classique et la commande vectorielle

Cette thèse a pour but d’apporter une contribution au contrôle DTC de la MASDE. Plusieurs structures ont été développées ces structures concernant la combinaison de différentes techniques de commandes intelligentes avec l’apport des techniques d’optimisations. Dans ce contexte une commande floue type 1 et flou type 2 ont été présentée avec l’utilisation des techniques PSO et AG dont le but est d’améliorer les performances de la MASDE, avec ces techniques les oscillations de flux et couple sont réduites, et la réponse dynamique du système a été améliorée. Dans ce travail, nous avons aussi développé une autre technique qui réduit les oscillations de couple et de flux, cette technique que nous avons appelée commande DTC hybride basée sur le mode glissant d’ordre supérieur flou-T2. L’ensemble des résultats obtenus a montré satisfaction quant aux performances atteintes par le système. Celles-ci sont traduites par la robustesse de la commande vis-à-vis des incertitudes paramétriques de la MASDE.

Ce travail est basé sur l’étude et la simulation numérique du comportement de la micropompe piézoélectrique à mouvement péristaltique. La nature de l’actionneur piézoélectrique est un disque piézoélectrique PZT-5H (Titano-Zirconate de Plomb) et le diaphragme est un dioxyde de silicium (SiO2). En appliquant l’approche FSI (Fluid-Structure Interaction), la simulation de la micropompe sans valves est réalisée au moyen du logiciel Comsol 3.5 Multiphysics. La déformation dûe à la tension appliquée aux bornes du disque piézoélectrique entra{\^ıne un déplacement de la membrane, et par la meme la circulation du fluide. A partir des résultats obtenus, la conception optimale a nécessité respectivement une épaisseur de 0.5 mm pour la membrane et pour l’actionneur piézoéléctrique. L’étude des effets de la tension sur la déflexion du diaphragme et la nature du fluide sur le débit de la micropompe a été menée et des résultats de simulation probants ont été obtenus

Ce travail présente des techniques de commande robustes dédiées au système éolien basé sur la machine asynchrone à double alimentation sans balais (MADASB) entrainée par une turbine à calage variable des pales. Le stator de puissance de la machine est directement relié au réseau électrique ; par contre le stator de commande est alimenté par un convertisseur bidirectionnel. Les MADASB promettent des avantages significatifs pour les systèmes de conversion d’énergie éolienne en raison de leurs faibles coûts et une plus grande fiabilité par rapport aux machines asynchrones à double alimentation classiques (MADA). L’idée principale consiste à appliquer différentes techniques de commande pour le contrôle indépendant des puissances active et réactive générées par la MADASB découplée par la technique de commande vectorielle. Il s’agit particulièrement de la commande par logique floue et des commandes par mode glissant d’ordre un et de second ordre basée sur l’algorithme du Super-Twisting, la commande par retour d’état et la commande par backstepping. Une étude comparative relative aux performances obtenues par les commandes proposées est menée. Les résultats de simulation montrent que ces méthodes hiérarchisées, possèdent de grandes performances dans le contrôle de tels systèmes en termes de poursuite de la référence, de découplage, de temps de réponse et de la qualité du courant.

Cette thèse a pour but d’apporter une contribution au contrôle direct des puissances d’une chaine de conversion d’énergie éolienne à base d’une GADA en faisant varier la vitesse de l’éolienne en réponse au changement de la vitesse du vent afin d’optimiser l’énergie éolienne extraite et de concevoir une commande robuste face aux incertitudes paramétriques. Plusieurs structures ont été développées ces structures concernant la combinaison de déférentes techniques de commandes pour aboutir à des meilleurs résultats. Dans ce contexte une commande adaptative pour le contrôle des puissances de la GADA a été présentée, avec cette technique les oscillations des puissances sont réduites, la réponse dynamique du système a été améliorée. Dans ce travail, nous avons aussi développé une autre technique qui réduit les oscillations des puissances, cette technique que nous avons appelé DPC basée sur le mode glissant d’ordre supérieur. L’ensemble des résultats obtenus a montré satisfaction quant aux performances atteintes par le système. Celles-ci sont traduites par la robustesse de la commande vis-à-vis des incertitudes paramétriques de la GADA

In this paper, a high-performance indirect field-oriented controlled dual Induction Motor (IM) drive fed by a single inverter using type-2 fuzzy logic control will be presented. At first, the mathematical model of the IM is implemented in the d-q reference frame. Then, the speed control of the Dual Induction Motor (DIM) operating in parallel configuration with Indirect Field Oriented Control (IFOC) using PI and type-2 Fuzzy Logic Controller (T2-FLC) will be presented. For the control of this system, a DC supply and a Space Vector Pulse Width Modulation (SVPWM) voltage source inverter are introduced with constant switching frequency. Also, the performance of T2-FLC, which is based on the IFOC, is tested and compared to those achieved using the PI controller. The simulation results demonstrate that the T2-FLC is more robust, efficient, and has superior dynamic performance for traction system applications.

In this paper, a high-performance indirect field-oriented controlled dual Induction Motor (IM) drive fed by a single inverter using type-2 fuzzy logic control will be presented. At first, the mathematical model of the IM is implemented in the d-q reference frame. Then, the speed control of the Dual Induction Motor (DIM) operating in parallel configuration with Indirect Field Oriented Control (IFOC) using PI and type-2 Fuzzy Logic Controller (T2-FLC) will be presented. For the control of this system, a DC supply and a Space Vector Pulse Width Modulation (SVPWM) voltage source inverter are introduced with constant switching frequency. Also, the performance of T2-FLC, which is based on the IFOC, is tested and compared to those achieved using the PI controller. The simulation results demonstrate that the T2-FLC is more robust, efficient, and has superior dynamic performance for traction system applications.

In this paper, a high-performance indirect field-oriented controlled dual Induction Motor (IM) drive fed by a single inverter using type-2 fuzzy logic control will be presented. At first, the mathematical model of the IM is implemented in the d-q reference frame. Then, the speed control of the Dual Induction Motor (DIM) operating in parallel configuration with Indirect Field Oriented Control (IFOC) using PI and type-2 Fuzzy Logic Controller (T2-FLC) will be presented. For the control of this system, a DC supply and a Space Vector Pulse Width Modulation (SVPWM) voltage source inverter are introduced with constant switching frequency. Also, the performance of T2-FLC, which is based on the IFOC, is tested and compared to those achieved using the PI controller. The simulation results demonstrate that the T2-FLC is more robust, efficient, and has superior dynamic performance for traction system applications.

In this paper, a direct vector control using fuzzy logic controller with adaptive gain for a doubly fed induction generator (DFIG) based wind energy conversion system (WECS) is presented. The performance of fuzzy controllers is characterized by unsatisfactory performance: (wide overshoot, excessive oscillations and sensitivity to parametric variations). We propose a robust method, where the control gain will be continually adapted with the use of a set of fuzzy rules; we only consider the gain adaptation of the command. I mean the value of the gain will be determined by a rule base defined by the error and the variation of the error. Finally, the control of the active and reactive powers using a fuzzy logic controller with adaptive gain is simulated using software Matlab/Simulink, studies on a 1.5 MW DFIG wind generation system compared with the conventional fuzzy logic controller. Performance and robustness results obtained are presented and analyzed. KEY WORDS Wind energy conversion system ; Vector control ; Fuzzy logic controller ; Adaptive fuzzy logic controller.

In this paper, a direct vector control using fuzzy logic controller with adaptive gain for a doubly fed induction generator (DFIG) based wind energy conversion system (WECS) is presented. The performance of fuzzy controllers is characterized by unsatisfactory performance: (wide overshoot, excessive oscillations and sensitivity to parametric variations). We propose a robust method, where the control gain will be continually adapted with the use of a set of fuzzy rules; we only consider the gain adaptation of the command. I mean the value of the gain will be determined by a rule base defined by the error and the variation of the error. Finally, the control of the active and reactive powers using a fuzzy logic controller with adaptive gain is simulated using software Matlab/Simulink, studies on a 1.5 MW DFIG wind generation system compared with the conventional fuzzy logic controller. Performance and robustness results obtained are presented and analyzed. KEY WORDS Wind energy conversion system ; Vector control ; Fuzzy logic controller ; Adaptive fuzzy logic controller.

In this paper, a direct vector control using fuzzy logic controller with adaptive gain for a doubly fed induction generator (DFIG) based wind energy conversion system (WECS) is presented. The performance of fuzzy controllers is characterized by unsatisfactory performance: (wide overshoot, excessive oscillations and sensitivity to parametric variations). We propose a robust method, where the control gain will be continually adapted with the use of a set of fuzzy rules; we only consider the gain adaptation of the command. I mean the value of the gain will be determined by a rule base defined by the error and the variation of the error. Finally, the control of the active and reactive powers using a fuzzy logic controller with adaptive gain is simulated using software Matlab/Simulink, studies on a 1.5 MW DFIG wind generation system compared with the conventional fuzzy logic controller. Performance and robustness results obtained are presented and analyzed. KEY WORDS Wind energy conversion system ; Vector control ; Fuzzy logic controller ; Adaptive fuzzy logic controller.

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.

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.

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.

This paper presents a novel direct rotor flux oriented control with online estimation of magnetizing current and magnetizing inductance applied to self-excited dual star induction generator equipping a wind turbine in remote sites. The induction generator is connected to nonlinear load through two PWM rectifiers. The fuzzy logic controller is used to ensure the DC bus voltage a constant value when changes in speed and load conditions. In this study, a performance comparison between the conventional approach and the novel approach is made. The proposed control strategy is validated by simulation in Matlab/Simulink.

This paper presents a novel direct rotor flux oriented control with online estimation of magnetizing current and magnetizing inductance applied to self-excited dual star induction generator equipping a wind turbine in remote sites. The induction generator is connected to nonlinear load through two PWM rectifiers. The fuzzy logic controller is used to ensure the DC bus voltage a constant value when changes in speed and load conditions. In this study, a performance comparison between the conventional approach and the novel approach is made. The proposed control strategy is validated by simulation in Matlab/Simulink.

This paper presents a novel direct rotor flux oriented control with online estimation of magnetizing current and magnetizing inductance applied to self-excited dual star induction generator equipping a wind turbine in remote sites. The induction generator is connected to nonlinear load through two PWM rectifiers. The fuzzy logic controller is used to ensure the DC bus voltage a constant value when changes in speed and load conditions. In this study, a performance comparison between the conventional approach and the novel approach is made. The proposed control strategy is validated by simulation in Matlab/Simulink.