Browsing by Author "Ammar, Abdelkarim (supervisor)"

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Design of EV charging station based on a multisource system
(Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) Teber, Amine; Ticherafi, Fouad; Ammar, Abdelkarim (supervisor)
This report aims to create a battery charging system for electric vehicles (EVs) that incorporates several energy sources, such as a photovoltaic (PV) array, a backup battery, and the electrical grid. The objective is to create a charging station that can reliably produce a steady power output under a range of supply and environmental circumstances. The research begins with applying Maximum Power Point Tracking (MPPT), a technique essential for maximizing the energy harnessed from solar panels. This is followed by an exploration of Direct Power Control (DPC) for AC to DC conversion, which is crucial for maintaining power quality and stability. Additionally, the study delves into the cascade control of EV and station batteries to ensure seamless energy management across the system for differen tscenario sdependin go nth epowe rstate of the sources, and all implementations have been done using Matlab Simulink.
Maximum power point tracking for solar water pumping system under partial shading conditions
(2024) Bouafia, Imad; Azioune, Ahmed; Ammar, Abdelkarim (supervisor)
This report presents innovative approaches to maximize the power output of photovoltaic (PV) systems for water-pumping applications based on BLDC motor, specificall yaddress- ing challenges posed by partial shading, which occurs when certain parts of the PV array are shaded while others are exposed to sunlight. Traditional Maximum Power Point Tracking (MPPT) algorithms, such as the Perturb and Observe (P&O) method, have limitations when it comes to dealing with partial shading, as these algorithms struggle to accurately identify the global maximum power point (GMPP), which is important for achieving optimal power generation. To overcome these limitations, this work introduces advanced metaheuristic algorithms, including Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), and the Marine Predator Algorithm (MPA), to robustly track the GMPP, thus ensuring optimal performance despite variations in solar exposure. Furthermore, the efficienc yo feac halgorith mis compared using simulation models generated in MATLAB/Simulink, where the results demonstrate that these algorithms significantly improve power extraction under partial shading conditions.
PID controller parameters tuning using metaheuristic methods for quadrotor UAV
(2022) Abedelaziz, Mouloud Aghilas; Ammar, Abdelkarim (supervisor)
Since quadrotors are gaining more popularity in research area, due to their control complexity and their highly complicated nature. Although there have been many techniques designed to control quadrotor systems, most of them are characterized with high computational burden. Therefore PID controllers are preferred for their simplicity and effective performance, however in order to achieve such level of efficiency their gains need to be tuned properly. In this work, three well-known metaheuristic algorithms are applied for that purpose, namely: PSO, TLBO, and WOA. The three optimizers were employed to extract the optimum PID gains for altitude, Roll, yaw and pitch angles. A comparative study on the basis of the Integral of Absolute Error, Settling time,Rise Time, and overshoot was conducted to examine the introduced approaches. In general the results have demonstrated the superior performance of the PSO algorithm over its counterparts in most the investigated aspects.
Voltage oriented and model predictive control of three-phase vienna rectifier.
(2021) Terkmane, Oussama; Zidane, Djamel Eddine; Ammar, Abdelkarim (supervisor)
Generally, the conversion from AC to DC uses conventional uncontrollable or controllable diodes rectifier in both single phase and three phases. The main drawbacks of these rectifiers are injecting a huge amount of distortion in the AC-side line currents, low power factor and high ripple factor in the output DC- side. Recently, new types of controllable AC to DC converters such as PWM rectifier and Vienna rectifier which improve the quality of AC- line current with a low harmonics distortion, high power factor that is almost unity and a straight output DC- current which reduce ripple factor. This thesis is interested in comparison study between PWM rectifier and Vienna rectifier. Both structures and principle of work of these rectifiers are presented and what are factors that control them. It also covers the SVM (space vector modulation) and how this technique is different from a rectifier to another. Finally, the performance of PWM and Vienna rectifiers are evaluated under several control strategies such voltage oriented control (VOC) and model predictive control- finite control set (MPC-FCS) that reduce the complexity of previous control strategy. The performances are tested under different conditions balanced, unbalanced and distorted network. All covered techniques are simulated using MATLAB/Simulink software.