- Photovoltaic System Optimization Techniques
- Microgrid Control and Optimization
- Greenhouse Technology and Climate Control
- Fuel Cells and Related Materials
- Advanced Battery Technologies Research
- Solar Radiation and Photovoltaics
- Hybrid Renewable Energy Systems
- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Refrigeration and Air Conditioning Technologies
- Control and Stability of Dynamical Systems
- Light effects on plants
- Multilevel Inverters and Converters
- Electric and Hybrid Vehicle Technologies
- Advanced DC-DC Converters
- Advanced Control Systems Design
- Microwave Engineering and Waveguides
- Energy and Environment Impacts
- Building Energy and Comfort Optimization
- Control Systems and Identification
- Smart Grid Energy Management
- Antenna Design and Analysis
- Model Reduction and Neural Networks
- Analytical Chemistry and Sensors
- Heat Transfer and Optimization
Tunis El Manar University
2015-2024
Tunis University
2015-2024
Office of Energy Efficiency and Renewable Energy
2024
National Engineering School of Tunis
2007-2020
École Centrale de Lille
2017-2019
Research and Technology Center of Energy
2017-2019
National Agency for the Development of Renewable Energy and Energy Efficiency
2017
Laboratoire d'Automatique, Génie Informatique et Signal
2017
Centre National de la Recherche Scientifique
2017
Hôpital Farhat Hached
2017
In this paper, we present a novel fuzzy logic controller, for tracking the maximum power point of boost-based PV system. The controller is used to improve its dynamic response with sudden irradiations and temperature conditions. This paper deals optimal adjustment scaling factors controllers, these parameters affects performance in term speed, accuracy stability. Hence, are optimized by using Particle Swarm Optimization algorithm. Numerical simulations carried out highlight control...
An agricultural greenhouse is a complex and Multi-Input Multi-Output MIMO system in which the internal parameters create favorable microclimate for production. Temperature humidity are two that have major impact on yield. The objective of this study was to propose simulated dynamic model MATLAB/Simulink environment experimental validation. Moreover, fuzzy controller designed manage indoor climate by means an asynchronous motor ventilation, heating, humidification, etc. intelligent control...
This paper presents the application of Adaptive Neuro Fuzzy Inference System (ANFIS) to track maximum power a photovoltaic generator that feeds motor-pump group unit through Pulse Width Modulation (PWM) inverter powered by Single Ended Primary Inductance Converter (SEPIC) installed in laboratory. The ANFIS control is trained different temperatures and irradiances point tracking system varies automatically duty cycle SEPIC converter. performance MPPT controller tested simulations Matlab/Simulink.
Solar photovoltaic (PV) energy production is important in reducing global crises since it transportable, scalable, and highly customizable dependent on the needs of industry or end-user. In addition, compared to other renewable resources, systems can produce electricity without moving parts have a long lifespan. Nevertheless, solar provide intermittent output with nonlinear voltage. Due this availability, PV installations are facing significant challenges. As result, power systems, Maximum...
In this paper, a mathematical model is developed based on the heat transfer of stored grains aerated in cylindrical silo. This work part study that aims to whole process cereal storage system including dehumidifier. The use dehumidifier intended remove excess moisture from airflow injected by ventilator silo filled with wheat, and keep hygroscopic properties grain safe level during period. Temperature humidity are two important variables coupled control preserve quality. laboratory device...
In this paper, a fuzzy logic controller is developed in order to control the inside temperature and relative humidity an agricultural greenhouse. First, thermal dynamic model was describe greenhouse environment predict humidity. The modeled using Matlab-Simulink environment. simulation results showed effectiveness of achieve favorable climate.
This work concerns the study and modeling of hybrid Proton Exchange Membrane (PEM) Fuel Cell electric vehicle. In fact, paper deals with model description powertrain which includes two energy sources: a PEM as primary source supercapacitor secondary source. The architecture is degrees freedom permitting stability DC bus voltage. hybridation an storage system can improve vehicle dynamic response during transients hydrogen consumption. proposed management algorithm allows us to have minimum...
This paper presents a dynamic modeling and simulation of small wind turbine connected to Permanent Magnet Synchronous Generator PMSG, which is controlled by Zero d-axis current (ZDC) control scheme. The model the system developed using basic mathematical equations it carried out Matlab /Simulink environment. results demonstrate effectiveness proposed determine its behaviors.
Unmanned Aerial Vehicle (UAV)-type Quadrotors are highly nonlinear systems that difficult to control and stabilize outdoors, especially in a windy environment. Many algorithms have been proposed solve the problem of trajectory tracking using UAVs. However, current face significant hurdles, such as parameter uncertainties, modeling errors, challenges environments. Sensitivity variations may lead performance degradation or instability. Modeling errors arise from simplifications, causing...
This paper deals with the modeling and control of air temperature humidity in greenhouses. A physical model greenhouse used Simulink/Matlab environment is elaborated to simulate both indoor humidity. As a solution non-linearity complexity system, fuzzy logic method developed actuators that are installed inside for heating, ventilation, humidification cooling obtain suitable microclimate.
This paper presents a dynamic model of an agricultural greenhouse in order to predict the air temperature and relative humidity using Matlab/Simulink environment. It describes transfer heat water vapor inside during four days winter. The simulation results showed that internal vary with weather conditions (solar radiation, wind speed, outside temperature…), season, location structure greenhouse.
Climate dependence requires robust control of the photovoltaic system. The current paper is divided in two main sections: first part dedicated to compare and evaluate behaviors three different maximum power point tracking (MPPT) techniques applied energy systems, which are: incremental conductance (IC), perturb observe (P&O) fuzzy logic controller (FLC) based on conductance. A model a generator DC/DC buck converter with MPPT simulated compared using Matlab/Simulink software. comparison...
In this work we have developed a new humidifier system based on ultrasonic nebulizer, that's used to control the relative humidity inside incubator. Real time data was collected using high sensitive sensor SY-230. The dynamic properties of neonatal incubator were evaluated. System identification result is genetic algorithm and least squares (RLS) find NARMA input-output mathematical model. For object, achieved implemented an acquisition chain PIC micro-controller. At command, comparative...