FAYSSAL Ouagueni

BABAH Mostafa , SI ABDALLAH Marouane

Control for the Fuel and Oxygen Flows of the Solid Oxide Fuel Cell by two Types of Fuzzy Adaptive PID

Roqiya Saada

Two types of fuzzy logic controllers for the fuel and oxygen flows of the solid oxide fuel cell

SAOUCHI Louey , BELABBES Fares

FUZZY - SMC - PI Regulator for Speed Control of the Doubly Fed Induction Machine

MEKDOUR Dounia , MIMOUN Farouk

Commande Floue d’un Pancréas Artificiel

MEKDOUR Dounia , MIMOUN Farouk

Commande Floue d’un Pancréas Artificiel

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

Arabic Sign Language (ArSL) serves as a vital communication medium for the deaf and hard-ofhearing community within Arabic-speaking regions. However, significant communication barriers often exist between signers and non-signers, limiting access and inclusion. This paper investigates the effectiveness of the ResNet-50 architecture for ArSL recognition. We employ a transfer learning methodology, fine-tuning a ResNet-50 model pre-trained on ImageNet using the RGB Arabic Alphabets Sign Language Dataset containing 16,000 images across 32 classes representing the Arabic alphabet. Standard image preprocessing and data augmentation techniques are utilized to enhance model robustness. The study achieves 96% recognition accuracy for static ArSL signs, evaluated using standard classification metrics. This work provides a rigorous evaluation of ResNet-50 within the ArSL context, reinforcing the potential of transfer learning for developing practical assistive communication technologies and promoting greater

Citation

FAYSSAL Ouagueni , , (2025-12-12), A Deep Learning Approach using ResNet-50 for Arabic Sign Language Recognition, Boletim da Sociedade Paranaense de Matematica, Vol:43, Issue:7, pages:1-9, Sociedade Brasileira de Matematica

Adaptive Fuzzy-PI-Hybrid Control of Permanent Magnet Synchronous Motors

Citation

FAYSSAL Ouagueni , ,(2025-12-10), Adaptive Fuzzy-PI-Hybrid Control of Permanent Magnet Synchronous Motors,The 2nd international conference of advanced technology in electronic and electrical engineering (ICATEEE2025),M'sila, Algeria

Optimal Feedback Linearization Control of DFIG Wind Energy Systems Using Bacterial Foraging Optimization

Citation

FAYSSAL Ouagueni , ,(2025-11-05), Optimal Feedback Linearization Control of DFIG Wind Energy Systems Using Bacterial Foraging Optimization,First National Conference on Embedded Systems, Telecommunication, Microelectronics, and Renewable Energy,Khemis Miliana, Algeria

Fuzzy Type-2 Feedback Linearization Control for DFIG-Based Wind Energy Conversion Systems

Citation

FAYSSAL Ouagueni , ,(2025-10-06), Fuzzy Type-2 Feedback Linearization Control for DFIG-Based Wind Energy Conversion Systems,3rd International Conference on Pioneer and Innovative Studies ICPIS 2025,Konya, Turkey

Design of an Optimal Nonlinear Controller for DFIG Wind Turbines via Harris Hawks Optimization

Citation

FAYSSAL Ouagueni , ,(2025-09-15), Design of an Optimal Nonlinear Controller for DFIG Wind Turbines via Harris Hawks Optimization,2nd International Conference on Pioneer and Academic Research (ICPAR 2025),Konya, Turkey

This paper focuses on meta-heuristic optimization techniques that are presently employed to enhance a variety of problems. While there are dierent types of MOTs, the method discussed in this work concentrates primarily on the articial bee colony (ABC). This research investigates an optimal feedback linearization control (FLC) for a doubly fed induction generator's (DFIG) active and reactive powers regulation.This study aims to overcome the limitations of the conventional tuning method by proposing an algorithm that generates gains for the PI controller. The proposed control strategy is validated using MATLAB SIMULINK with a 1.5 MW DFIG wind turbine. Simulation results demonstrate that optimal feedback linearization control signicantly improves performance compared to conventional feedback linearization control, as evidenced by reduced overshoot, steady-state error, and settling time.

Citation

FAYSSAL Ouagueni , ,(2025-09-07), Optimal nonlinear control of DFIG wind turbine system based articial bee colony algorithm,9th International Conference of Mathematical Sciences,Istanbul, Turkey

The solid oxide fuel cell (SOFC) is extensively utilized for decentralized and renewable energy production. The primary issue of SOFC is regulating its output voltage, which is attributed to significant nonlinearity, swift load variations, and restricted fuel supply. The SOFC system control aims to sustain the output voltage at a stable level and the fuel utilization rate within a safe range. This work employs a multiple-input multiple-output (MIMO) discrete-time Takagi-Sugeno (TS) fuzzy dynamic model with feedforward input to characterize the dynamic features of the nonlinear voltage and fuel utilization rate in a tubular solid oxide fuel cell (SOFC) system. The acquired fuzzy model will be utilized to implement constrained fuzzy model predictive control. The simulation results demonstrate the precision and efficacy of the proposed technique.

Citation

FAYSSAL Ouagueni , ,(2025-09-03), Modelling the SOFC Power Plant Utilizing a MISO Nonlinear Auto-Regressive Model with eXogenous Input Fuzzy Dynamic Model,9th International Conference of Mathematical Sciences (ICMS 2025),Maltepe University, Istanbul, Turkey

A_Deep_Learning_Approach_using_ResNet_50_for_Arabic_Sign_Language_Recognition atte.pdf

Citation

ABDELHAFID Benyounes , Mounir BOURAS , ABDELGHAFOUR Herizi , Salah KHENNOUF , FAYSSAL Ouagueni , ,(2025-09-02), A Deep Learning Approach using ResNet-50 for Arabic Sign Language Recognition,ICMS 2025,turkey

This paper presents a novel nonlinear control approach for a doubly fed induction generator (DFIG) by integrating sliding mode control, backstepping control, and fuzzy logic. The proposed hybrid strategy modifies the sliding mode controller by retaining the equivalent control while replacing the attractive control with backstepping. Type-1 fuzzy logic is then used to optimize the stabilization gains of the backstepping controller, enhancing system stability and resilience. The effectiveness of the proposed control is evaluated through MATLAB/Simulink simulations. Results from the tracking test show accurate reference trajectory tracking without exceeding active and reactive power limits or exhibiting steady-state errors. In the regulation test, the system demonstrated sensitivity to sudden speed changes but maintained stable active and reactive power.

Citation

FAYSSAL Ouagueni , , (2025-08-31), ROBUST WIND POWER CONTROL USING SLIDING MODE, BACKSTEPPING, AND FUZZY LOGIC, Revue Roumaine des Sciences Techniques, Série Électrotechnique et Énergétique, Vol:70, Issue:3, pages:313-318, EDITURA ACAD ROMANE

This paper presents a novel nonlinear control approach for a doubly fed induction generator (DFIG) by integrating sliding mode control, backstepping control, and fuzzy logic. The proposed hybrid strategy modifies the sliding mode controller by retaining the equivalent control while replacing the attractive control with backstepping. Type-1 fuzzy logic is then used to optimize the stabilization gains of the backstepping controller, enhancing system stability and resilience. The effectiveness of the proposed control is evaluated through MATLAB/Simulink simulations. Results from the tracking test show accurate reference trajectory tracking without exceeding active and reactive power limits or exhibiting steady-state errors. In the regulation test, the system demonstrated sensitivity to sudden speed changes but maintained stable active and reactive power.

Citation

RIYADH Rouabhi , ABDELGHAFOUR Herizi , FAYSSAL Ouagueni , ABDERRAHIM Zemmit , , (2025-08-30), Robust Wind Power Control Using Sliding Mode, Backstepping, and Fuzzy Logic, Revue Roumaine des Sciences Techniques, Série Électrotechnique et Énergétique, Vol:70, Issue:3, pages:313–318, Revue Roumaine des Sciences Techniques

Optimal Nonlinear Control of DFIG Wind Turbine Systems Using Bacterial Foraging Optimization

Citation

FAYSSAL Ouagueni , ,(2025-08-22), Optimal Nonlinear Control of DFIG Wind Turbine Systems Using Bacterial Foraging Optimization,8th International Conference on Applied Engineering and Natural Sciences (ICAENS 2025),Konya, Turkey

Optimal PID Controller Design for Fuel Cell Power Plant Using Meta-Heuristic Optimization Technique

Citation

FAYSSAL Ouagueni , ,(2025-05-06), Optimal PID Controller Design for Fuel Cell Power Plant Using Meta-Heuristic Optimization Technique,The First National Conference on Renewable Energies and Advanced Electrical Engineering,M’Sila, Algeria

Modeling and control of a fuel cell electric car

Citation

FAYSSAL Ouagueni , ,(2025-05-06), Modeling and control of a fuel cell electric car,The First National Conference on Renewable Energies and Advanced Electrical Engineering,M’Sila, Algeria

Modeling and simulation of a fuel cell electric vehicle

Citation

FAYSSAL Ouagueni , ,(2025-05-06), Modeling and simulation of a fuel cell electric vehicle,The First National Conference on Renewable Energies and Advanced Electrical Engineering,M’Sila, Algeria

Novel design of robust fuzzy-based PI controller with 12 linguistic variables for doubly fed induction machine

Citation

FAYSSAL Ouagueni , ,(2025-05-06), Novel design of robust fuzzy-based PI controller with 12 linguistic variables for doubly fed induction machine,The First National Conference on Renewable Energies and Advanced Electrical Engineering,M’Sila, Algeria

Protection Systems of the Electricity Transmission Network of the 220kv Ghardaïa - Ouargla Line

Citation

FAYSSAL Ouagueni , ,(2025-03-04), Protection Systems of the Electricity Transmission Network of the 220kv Ghardaïa - Ouargla Line,4th International Conference on Recent Academic Studies (ICRAS 2025),Konya, Turkey.

Study and Evaluation of the Maintenance System of the SKTMTamanrasset Company

Citation

FAYSSAL Ouagueni , ,(2025-02-10), Study and Evaluation of the Maintenance System of the SKTMTamanrasset Company,2nd International Conference on Recent and Innovative Results in Engineering and Technology,Konya, Turkey

Study and evaluation of the maintenance system of the ALFAPIPEGhardaïa company

Citation

FAYSSAL Ouagueni , ,(2025-01-30), Study and evaluation of the maintenance system of the ALFAPIPEGhardaïa company,2nd International Conference on Pioneer and Innovative Studies (ICPIS 2025),Konya, Turkey

This paper proposes a strategy for robust control of the wind turbine using a double-fed induction machine (DFIM) controlled by the park transformation, which allows control commands to be applied to the generated power. By orienting the stator flux, the active and reactive powers generated by the DFIM can be decoupled. The proposed control utilises a combination of sliding mode control and fuzzy logic with 12 linguistic variables. This approach effectively addresses modelling uncertainties in both the generator and wind turbine, resulting in improved performance and production quality in this domain. Simulation results will demonstrate the advantages of this approach over the classic setting.

Citation

ABDERRAHIM Zemmit , ABDELGHAFOUR Herizi , RIYADH Rouabhi , FAYSSAL Ouagueni , , (2024-10-16), New design of robust controller based on fuzzy 12 linguistic variables for wind power conversion system., Przegląd Elektrotechniczny, Vol:100, Issue:10, pages:89-92, Przegląd Elektrotechniczny

This paper proposes a strategy for robust control of the wind turbine using a double-fed induction machine (DFIM) controlled by the park transformation, which allows control commands to be applied to the generated power. By orienting the stator flux, the active and reactive powers generated by the DFIM can be decoupled. The proposed control utilises a combination of sliding mode control and fuzzy logic with 12 linguistic variables. This approach effectively addresses modelling uncertainties in both the generator and wind turbine, resulting in improved performance and production quality in this domain. Simulation results will demonstrate the advantages of this approach over the classic setting.

Citation

FAYSSAL Ouagueni , , (2024-10-01), New design of robust controller based on fuzzy 12 linguistic variables for wind power conversion system., Przegląd Elektrotechniczny, Vol:2024, Issue:10, pages:89, Przegląd Elektrotechniczny

Control of a Variable Speed Wind Turbine

Citation

FAYSSAL Ouagueni , ,(2024-06-16), Control of a Variable Speed Wind Turbine,3rd International Conference on Frontiers in Academic Research,Konya, Turkey

A variable speed electric drive based on a permanent magnet synchronous motor (PMSM)

Citation

FAYSSAL Ouagueni , ,(2024-05-17), A variable speed electric drive based on a permanent magnet synchronous motor (PMSM),3rd International Conference on Engineering, Natural and Social Sciences ICENSOS 2024,Konya, Turkey

SOCA-CFAR processor: its Pfa in an Erlang-distributed clutter

Citation

FAYSSAL Ouagueni , ,(2024-04-19), SOCA-CFAR processor: its Pfa in an Erlang-distributed clutter,2nd International Conference on Scientific and Innovative Studies ICSIS 2024,Konya, Turkey

Konya, Turkey

Citation

FAYSSAL Ouagueni , ,(2024-04-19), 2nd International Conference on Scientific and Innovative Studies ICSIS 2024,Konya, Turkey,Konya, Turkey

Vector Control of Induction Motor Using Type-1 Fuzzy Logic Controller

Citation

FAYSSAL Ouagueni , ,(2024-04-18), Vector Control of Induction Motor Using Type-1 Fuzzy Logic Controller,2nd International Conference on Scientific and Innovative Studies ICSIS 2024,Konya, Turkey

A Decision Tree Approach for Detecting and Classifying Rolling Element Bearing Faults in Asynchronous Machines

Citation

FAYSSAL Ouagueni , ,(2024-04-18), A Decision Tree Approach for Detecting and Classifying Rolling Element Bearing Faults in Asynchronous Machines,2nd International Conference on Scientific and Innovative Studies ICSIS 2024,Konya, Turkey

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 study 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 , ,(2024-03-15), Modeling and Control of the Nonlinear Tubular Solid-Oxide Fuel Cell System Based on TS Fuzzy Theory and Predictive Control,4th International Artificial Intelligence and Data Science Congress ICADA 2024,Izmir, Turkey

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.

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