FAYSSAL Ouagueni

DAHMANI Miloud , GHERABI Chams Elassil

Modélisation et commande d’un pancréas artificiel

Ameur CHERIGUI , Abdelmounaim BADRA

Modélisation et simulation d'un véhicule électrique à pile à combustible

Salaheddine BOUGOUTAIA , Youcef BOUGOUTAIA

Commande PID floue adaptative de la suspension d'un véhicule automobile

Hamza BEN ATHMANE , Manel GUEBROUDJ

Modélisation et commande floue adaptative de la pile à combustible de type SOFC

Assala BOUGERRA , Nor Elhouda ZOURIG

Commande par mode glissant de la suspension d'un véhicule automobile

Salima SIYOUCEF , Souhila DHALIS

Commande floue de la pile à combustible de type SOFC

Hamza DJAALAB , Riyad HOUIDECHE

Modélisation et commande floue stabilisante de la suspension active de véhicule

Hachim SEGHIRI , Abd Rachid AKKA

Diagnostic de la fonction isolation de câbles HT isolés par la méthode des éléments finis

Manel TERK , Imane SAADAALLAH

Compensation des harmoniques dans un réseau électrique public basse tension sous l’environnement Matlab /Simulink

Moustafa DAOUDI , Youssouf KHARCHI

Prédiction de la tension de claquage d’une configuration pointe-barrière-plan polluée par l’approche basée sur l’intelligence artificielle

CHOUIDIRA Mohmmed Assil , BAKRI Akram

Modélisation floue de la pile à combustible SOFC

Arbaoui Fatima , Mekki Houria

Modélisation et commande de la pile à combustible SOFC

Dehbi Fatima Zohra , Sadok Bouziane Imane

Modélisation et commande de la suspension active de véhicule

Bouziani Ines

Stabilisation des systèmes non linéaire via des modèles flous de type Takagi-Sugeno : Approche LMI

Meghaoui Houria , Messadi Fadhila

Commande multi-controleurs linéaires des systèmes non linéaires sous la forme Takagi-Sugeno incertain

Robust Sliding Mode Control of Mechanical Power Produced by an Induction MOTOR (IM)

Citation

FAYSSAL Ouagueni , RIYADH Rouabhi , ,(2023-12-26), Robust Sliding Mode Control of Mechanical Power Produced by an Induction MOTOR (IM),9th Ankara International Congress on Scientific Research (AICSR’2023),Ankara, Turkey

Optimization of a PID Regulator by the PSO “Particle Swarm Optimization” Technique

Citation

FAYSSAL Ouagueni , ,(2023-12-25), Optimization of a PID Regulator by the PSO “Particle Swarm Optimization” Technique,3rd International Conference on Scientific and Academic Research (ICSAR’2023) Konya, Turkey.,Konya, Turkey

Modeling and Control of the Nonlinear Tubular Solid-Oxide Fuel Cell System Based on TS Fuzzy Theory and Predictive Control

Citation

FAYSSAL Ouagueni , Boureguigu Kada, ,(2023-12-02), Modeling and Control of the Nonlinear Tubular Solid-Oxide Fuel Cell System Based on TS Fuzzy Theory and Predictive Control,The 1ST National Conference On Physics And It’s Applications (NCPA2023),,Higher Normal School of Bousaada, Algeria.

Optimal Nonlinear Control of DFIG Wind Turbine System Based Artificial Bee Colony Algorithm

Citation

FAYSSAL Ouagueni , Boureguigu Kada, ,(2023-12-02), Optimal Nonlinear Control of DFIG Wind Turbine System Based Artificial Bee Colony Algorithm,The 1ST National Conference On Physics And It’s Applications (NCPA2023),,Higher Normal School of Bousaada, Algeria.

The Curve Fitting Optimization Method

Citation

FAYSSAL Ouagueni , ABDELGHAFOUR Herizi , ,(2023-10-19), The Curve Fitting Optimization Method,2nd International Conference on Recent Academic Studies ( ICRAS’2023),,Konya, Turkey

This work is based on meta-heuristic optimization (MOT) techniques that are currently used to optimize various problems. Known for its simplicity and stochastic nature, MOT is used to solve complex engineering problems. There are different categories of MOT, but this article will focus on techniques from artificial bee colony (ABC) and grey wolf optimizer (GWO). In this paper, an optimal feedback linearization control (FLC) for active and reactive powers control of a doubly fed induction generator (DFIG) is considered. The adopted controller is based on metaheuristic optimization techniques (MOTs) such as ABC and GWO. MOTs algorithms are proposed for tuning and generating optimal gains for PI controller to overcome the imperfections of the traditional tuning method, in order to enhance the performance of FLC-DFIG response. The control strategy is tested via a 1.5 MW DFIG wind turbine using MATLAB-SIMULINK. The simulation results confirm the improved performance of the DFIG wind system controlled by the optimal feedback linearization control compared to the classical feedback linearization control in terms of maximum overshoot, steady-state error, and settling time. The comparative results show the efficiency of the proposed improvement approach which provided the best overshoot value, outperforming the classical method by 6.82% and 43.85%, respectively. For the settling time, the superiority was in the order of approximately 9.38% and 87.85%. Considering the steady-state error, the proposed approach's superiority is 210% and more than 3e3% respectively.

Citation

FAYSSAL Ouagueni , , (2023-07-20), Optimal Metaheuristic-Based Feedback Linearization Control of DFIG Wind Turbine System, Journal of Electrical Engineering & Technology, Vol:18, Issue:1, pages:1-13, Springer Nature Singapore

Ce polycopié de cours « énergie et environnement » est destiné aux étudiants de deuxième année de la licence académique en génie électrique « automatique, électromécanique et électrotechnique » et en électronique « électronique et télécommunications ». L’objective de ce cours est d’initier les étudiants aux différentes énergies existantes dans le monde (fossiles et renouvelables), leurs sources et l’impact de leurs utilisations sur l’environnement.

Citation

FAYSSALOuagueni , ,(2022); Énergies et Environnement,Université de M'sila,

The solid oxide fuel cell (SOFC) is broadly used for distributed and clean power generation. The main problem related to SOFC lies in the difficulties to control the output voltage of the SOFC due to the strong nonlinearity, the rapid changes of the load and the limited fuel flow. The production of electricity in the SOFC plant is directly affected by the change in the external load. Indeed, for stable operation of electrical equipment, the output voltage of this power supply system must be at a constant required value and the fuel utilization rate within a safety interval (from 0.7 to 0.9). To achieve this objective several methods have been proposed for controlling the SOFC system in a way to fix the optimal input between the flow rates of the reactants to a value of 1.145. While, it is enough only to have a value of approximately 1.145 to respect the variation of the pressure difference between hydrogen and oxygen (must not exceed 4 kPa in normal operating conditions and 8 kPa in transient conditions). In this paper, a new fuzzy control structure is proposed for the control of the SOFC system, where two fuzzy controllers were used one for the fuel flow and the other for the oxidant. The simulation results are provided to show the accuracy and the effectiveness of the proposed strategy in front of the control strategists who use a fixed ratio between the reactants.

Citation

FAYSSAL Ouagueni , Kada Boureguig, ,(2022), Voltage Regulation of Solid Oxide Fuel Cell,First national conference in Materials Science and Engineering (NCMSE’1_2022),Khemis Miliana - Algeria

Performance enhancement of DFIG wind turbine using ADRC controller based sliding mode control

Citation

FAYSSAL Ouagueni , Kada Boureguig, ,(2022), Performance enhancement of DFIG wind turbine using ADRC controller based sliding mode control,First national conference in Materials Science and Engineering (NCMSE’1_2022),Khemis Miliana - Algeria

La pile à combustible à oxyde solide (SOFC) est largement utilisée pour la production d'électricité. Le problème principal dans le SOFC réside dans la difficulté de contrôler la tension de sortie de la pile, en raison de la forte non-linéarité du système, des changements rapides de charge et du débit de carburant limité. L'objectif de la commande du système SOFC est de maintenir la tension de sortie à un niveau constant et le taux d'utilisation du combustible dans un intervalle de sécurité. Dans ce contexte, un modèle dynamique flou discret de type Takagi Sugeno (TS) multi-entrées multisorties (MIMO) est développé dans ce travail pour décrire les propriétés dynamiques de la tension non linéaire et le taux d'utilisation du combustible du système SOFC de géométrie tubulaire. Ce modèle flou développé sera utilisé pour l'application de la commande prédictive floue avec contraintes. Les résultats de simulation fournies montrent l'exactitude et l'efficacité de la stratégie proposée

Citation

FAYSSALOuagueni , ,(2021); Modélisation et Commande des Piles à Combustible,Université de Biskra,

Technological development in the automotive sector caused to comfort and security problems that was an important topic for engineering studies. Many vibrations sourced from external factors that occur, these vibrations adversely affect the vehicle's internal dynamics, comfort and safety. To better damp these vibrations, controllers are required for suspensions. The purpose of this paper is to present a control of the active suspension system using Conventional Sliding Mode (SMC), the simulation results obtained are compared with those obtained with the PID control and the passive model (Uncontrollable model).

Citation

FAYSSAL Ouagueni , Boureguig kada, ,(2021), A Sliding Mode Control design for Vehicle Active Suspension System under Road Disturbance,International Conference on Mechanics and Energy,Sousse, TUNISIA

In this paper, a new fuzzy control structure is proposed for the control of the SOFC system, where two fuzzy controllers were used one for the fuel flow and the other for the oxidant. The simulation results are provided to show the accuracy and the effectiveness of the proposed strategy in front of the control strategists who use a fixed ratio between the reactants.

Citation

FAYSSAL Ouagueni , ,(2021), A New Fuzzy Control Approach of the Nonlinear Solid-Oxide Fuel Cell System,1st International Conference on Sustainable Energy and Advanced Materials,Ouargla, ALGERIA

Backstepping control of DFIG Wind Turbine Using Rotor flux Observer

Citation

FAYSSAL Ouagueni , Boureguig Kada, ,(2021), Backstepping control of DFIG Wind Turbine Using Rotor flux Observer,International Conference on Mechanics and Energy,Sousse, TUNISIA

The solid oxide fuel cell (SOFC) is broadly used for distributed and clean power generation. The main problem related to SOFC lies in the difficulties to control the output voltage of the SOFC due to the strong nonlinearity, the rapid changes of the load and the limited fuel flow. The objective of the control of the SOFC system is to maintain the output voltage at a constant level and the fuel utilization rate in a safety interval. In this context, a multiple-input multiple-output (MIMO) discrete-time Takagi-Sugeno (TS) fuzzy dynamic model with feed forward input is used in this paper to describe the dynamic properties of the nonlinear voltage and the fuel utilization rate in a tubular SOFC system. This obtained fuzzy model will be used for the application of constrained fuzzy model predictive control. The simulation results are provided to show the accuracy and the effectiveness of the proposed strategy.

Citation

FAYSSAL Ouagueni , SAAD BELHAMDI , Boumehrez Mohamed, , (2019), A Fuzzy Model Feed Forward Predictive Control of the Nonlinear Tubular Solid-Oxide Fuel Cell System, Advances in modelling and analysis C, Vol:74, Issue:4, pages:71-79, IIETA

The solid oxide fuel cell (SOFC) is widely accepted for clean and distributed power generation use. The model of SOFC is belongs to highly nonlinear systems where perfect knowledge of their parameters is unattainable by conventional modeling techniques. In this paper the problem of the non linearity of the dynamic model of the SOFC is studied by using a multiple-input singleoutput (MISO) discrete time Takagi-Sugeno (TS) fuzzy dynamic model is used to describe the nonlinear voltage dynamic properties of the tubular SOFC system. Simulation results show that it is possible to establish the dynamic model of SOFC by using the TS fuzzy identification method. The accuracy and validity were also tested.

Citation

FAYSSAL Ouagueni , Boumehrez Mohamed, ,(2018), Modeling of The Nonlinear Tubular Solid-Oxide Fuel Cell System Using MISO NARX Fuzzy Model,Second International Conference on Electrical Engineering,Biskra, Algeria

Contribution to the generalized predictive control opplied to the MSAP

Citation

FAYSSAL Ouagueni , Bentchikou Ibrahim, Boudjemo F, Boukhetolo D, Ould chercholi N, ,(2015), Contribution to the generalized predictive control opplied to the MSAP,3rd lnternational Renewable and Sustainable Energy Conference,Marrakech & Ouarzazate, Morocco

Study of generalized predictive control by using an inverter three levels structure NPC Application for Permanent Magnet Synchronous Machines

Citation

FAYSSAL Ouagueni , Bentchikou Ibrahim, Boudjema F, Boukhetala D, Ould chercholi N, ,(2015), Study of generalized predictive control by using an inverter three levels structure NPC Application for Permanent Magnet Synchronous Machines,International Energy Technologies Conference,Turkey

L'optimisation de la profondeur de la jonction d'une cellule solaire à homojonction (Si/Si) et à hétérojonction (A1GaAs/GaAs)

Citation

FAYSSAL Ouagueni , Talhi Abdelkrim, Belghachi A, Varani L, ,(2014), L'optimisation de la profondeur de la jonction d'une cellule solaire à homojonction (Si/Si) et à hétérojonction (A1GaAs/GaAs),Second International Conference on New Materials and Active Devices,Oum El-Bouaghi , Algeria

Dans ce papier, on traite la méthode de la synthèse de commande multi-contrôleur pour les modèles flous incertains de Takagi-Sugeo (TS). L’analyse de la stabilisation est basée sur l’utilisation d’une fonction de Lyapunov quadratique et la loi de commande multi-contrôleur où la loi de commande globale est obtenue par commutation entre des lois de commande locales de type PDC (Parallel Distributed Compensation ), cette approche permet l’optimisation du nombre de contrôleurs qui peut être inférieur au nombre de règles. . Le but est d’obtenir des conditions LMI (Linear Matrix Inequalities) de stabilisation d’un modèle flou incertain de façon à maximiser la marge de stabilité quadratique.

Citation

FAYSSAL Ouagueni , Talhi abdelkrim, ,(2013), STABILISATION DES MODELES FLOUS INCERTAINS DE TAKAGI-SUGENO VIA LA COMMANDE MULTI-CONTROLEURS LINEAIRES : APPROCHE LMI,INTERNATIONAL CONFERENCE ON SYSTEMS AND PROCESSING INFORMATION,Guelma, Algeria

This paper relates to the study and the realization of a multilevel inverter associated with the card-based control of microcontroller PIC16F876. This is the series connection of three single phase inverter H-bridge with separate continuous voltages. In the theoretical section we presented a study on the model of the inverter and its control strategies, the full wave and the PWM with its variants. In the practical part, after realizing the control cards and power we implemented for control strategies on the PIC16F876.

Citation

FAYSSAL Ouagueni , BRIK Youcef , ,(2012), Réalisation d’un onduleur monophasé cascadé à sept niveaux piloté par le PIC16F876,Deuxième Conférence Internationale sur la Maintenance, la Gestion, la Logistique et l’Electrotechnique,Oran, Algeria