Yamina jouili - Academia.edu (original) (raw)

Papers by Yamina jouili

Brushless Direct Current (BLDC) motors have recently gained momentum. In this study, a fuel cell ... more Brushless Direct Current (BLDC) motors have recently gained momentum. In this study, a fuel cell stack, namely, a Proton-Exchange Membrane Fuel Cell (PEMFC), one of the promising renewable energy technologies, is chosen for a brushless DC motor. To improve the performance of PEMFC, an efficient maximum power point tracking (MPPT) algorithm was applied to the DC/DC boost converter. To this end, the perturbation and observation (P&O) algorithm were developed. This work proposes an adaptive controller proportional-integral (PI)-fuzzy logic speed for the BLDC. To evaluate its performance, the proposed controller was simulated under several conditions: load disturbance and reference speed variation. This controller is analyzed and compared with the classical PI controller. Therefore, the control performance parameters, such as rise time, settling time, steady-state error, and overshoot, were determined and compared. This system is analyzed and simulated using MATLAB/Simulink software.

Anti-windup self-adaptive PI-Fuzzy speed controller for brushless DC motor

Self-Adaptive PI-FLC for BLDC Motor Speed Supplied by PEM Fuel Cell Stack Optimized by MPPT

Arabian Journal for Science and Engineering

2021 12th International Renewable Energy Congress (IREC), 2021

This work is a proposal of the fuel cell stack for brushless dc motor such as Polymer Electrolyte... more This work is a proposal of the fuel cell stack for brushless dc motor such as Polymer Electrolyte Membrane Fuel Cells (PEMFC). In order, to improve the performance of PEM fuel cells under inputs variation, an efficient algorithm (Perturb and Observe) of the maximum power point tracking is applied to high step-up converter. This converter is used to boost the voltage level of PEMFC stack. Moreover, the commutation techniques based on Hall Effect sensors of BLDC motor drive is implemented. This system is simulated by Matlab/Simulink and the obtained results show the behavior of PEMFC stack and brushless dc motor.

Adaptive Controller PI-Fuzzy Logic Speed for Brushless DC Motor Drive Supplied by PEMFC Cell Optimized by P&O

International Journal on Applied Physics and Engineering

Brushless Direct Current (BLDC) motors have recently gained momentum. In this study, a fuel cell ... more Brushless Direct Current (BLDC) motors have recently gained momentum. In this study, a fuel cell stack, namely, a Proton-Exchange Membrane Fuel Cell (PEMFC), one of the promising renewable energy technologies, is chosen for a brushless DC motor. To improve the performance of PEMFC, an efficient maximum power point tracking (MPPT) algorithm was applied to the DC/DC boost converter. To this end, the perturbation and observation (P&O) algorithm were developed. This work proposes an adaptive controller proportional-integral (PI)-fuzzy logic speed for the BLDC. To evaluate its performance, the proposed controller was simulated under several conditions: load disturbance and reference speed variation. This controller is analyzed and compared with the classical PI controller. Therefore, the control performance parameters, such as rise time, settling time, steady-state error, and overshoot, were determined and compared. This system is analyzed and simulated using MATLAB/Simulink software.

Commande directe du couple d’une MAS alimentée par un onduleur de tension à trois niveaux à base de la logique floue

Anti-windup self-adaptive PI-Fuzzy speed controller for brushless DC motor

2022 IEEE International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM)

cet article décrit la co mmande directe du couple d'une machine asynchrone (MAS) alimentée par on... more cet article décrit la co mmande directe du couple d'une machine asynchrone (MAS) alimentée par onduleur de tension à trois niveaux dont la commutation des interrupteurs est basée sur un raisonnement flou. Co mparat ivement à la commande directe du couple (DTC) classique, les contrôleurs à hystérésis, la position du flux et table de sélection des vecteurs de tension sont remplacés par des blocs à logique floue pour réaliser une commande DTC-floue. L'analyse des résultats montre de bonnes performances pour la vitesse et une réduction des fluctuations au niveau du couple et du flu x dans la stratégie DTC-floue proposée pour le contrôle de l'association onduleur à trois niveau x machine asynchrone. Mots Clés : MAS, DTC, onduleur à trois niveaux et logique fl oue.

Brushless Direct Current (BLDC) motors have recently gained momentum. In this study, a fuel cell ... more Brushless Direct Current (BLDC) motors have recently gained momentum. In this study, a fuel cell stack, namely, a Proton-Exchange Membrane Fuel Cell (PEMFC), one of the promising renewable energy technologies, is chosen for a brushless DC motor. To improve the performance of PEMFC, an efficient maximum power point tracking (MPPT) algorithm was applied to the DC/DC boost converter. To this end, the perturbation and observation (P&O) algorithm were developed. This work proposes an adaptive controller proportional-integral (PI)-fuzzy logic speed for the BLDC. To evaluate its performance, the proposed controller was simulated under several conditions: load disturbance and reference speed variation. This controller is analyzed and compared with the classical PI controller. Therefore, the control performance parameters, such as rise time, settling time, steady-state error, and overshoot, were determined and compared. This system is analyzed and simulated using MATLAB/Simulink software.

Anti-windup self-adaptive PI-Fuzzy speed controller for brushless DC motor

Self-Adaptive PI-FLC for BLDC Motor Speed Supplied by PEM Fuel Cell Stack Optimized by MPPT

Arabian Journal for Science and Engineering

2021 12th International Renewable Energy Congress (IREC), 2021

This work is a proposal of the fuel cell stack for brushless dc motor such as Polymer Electrolyte... more This work is a proposal of the fuel cell stack for brushless dc motor such as Polymer Electrolyte Membrane Fuel Cells (PEMFC). In order, to improve the performance of PEM fuel cells under inputs variation, an efficient algorithm (Perturb and Observe) of the maximum power point tracking is applied to high step-up converter. This converter is used to boost the voltage level of PEMFC stack. Moreover, the commutation techniques based on Hall Effect sensors of BLDC motor drive is implemented. This system is simulated by Matlab/Simulink and the obtained results show the behavior of PEMFC stack and brushless dc motor.

Adaptive Controller PI-Fuzzy Logic Speed for Brushless DC Motor Drive Supplied by PEMFC Cell Optimized by P&O

International Journal on Applied Physics and Engineering

Brushless Direct Current (BLDC) motors have recently gained momentum. In this study, a fuel cell ... more Brushless Direct Current (BLDC) motors have recently gained momentum. In this study, a fuel cell stack, namely, a Proton-Exchange Membrane Fuel Cell (PEMFC), one of the promising renewable energy technologies, is chosen for a brushless DC motor. To improve the performance of PEMFC, an efficient maximum power point tracking (MPPT) algorithm was applied to the DC/DC boost converter. To this end, the perturbation and observation (P&O) algorithm were developed. This work proposes an adaptive controller proportional-integral (PI)-fuzzy logic speed for the BLDC. To evaluate its performance, the proposed controller was simulated under several conditions: load disturbance and reference speed variation. This controller is analyzed and compared with the classical PI controller. Therefore, the control performance parameters, such as rise time, settling time, steady-state error, and overshoot, were determined and compared. This system is analyzed and simulated using MATLAB/Simulink software.

Commande directe du couple d’une MAS alimentée par un onduleur de tension à trois niveaux à base de la logique floue

Anti-windup self-adaptive PI-Fuzzy speed controller for brushless DC motor

2022 IEEE International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM)

cet article décrit la co mmande directe du couple d'une machine asynchrone (MAS) alimentée par on... more cet article décrit la co mmande directe du couple d'une machine asynchrone (MAS) alimentée par onduleur de tension à trois niveaux dont la commutation des interrupteurs est basée sur un raisonnement flou. Co mparat ivement à la commande directe du couple (DTC) classique, les contrôleurs à hystérésis, la position du flux et table de sélection des vecteurs de tension sont remplacés par des blocs à logique floue pour réaliser une commande DTC-floue. L'analyse des résultats montre de bonnes performances pour la vitesse et une réduction des fluctuations au niveau du couple et du flu x dans la stratégie DTC-floue proposée pour le contrôle de l'association onduleur à trois niveau x machine asynchrone. Mots Clés : MAS, DTC, onduleur à trois niveaux et logique fl oue.