Browsing by Author "Tadjer, Sid Ahmed"

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An Analytical Approach for Evaluating Turn-On Switching Losses in SiC MOSFET With Kelvin Pin: Concept and Implementation
(Institute of Electrical and Electronics Engineers Inc, 2024) Mohammed Cherif, okba; Nadji, Bouchra; Tadjer, Sid Ahmed; Bencherif, Hichem
With the progressive adoption of silicon carbide (SiC) power devices in modern power converters, exploiting their superior efficiency, faster switching speed, and higher power density, an understanding of the factors influencing these properties becomes vital. One such critical factor is switching losses, which can drastically affect overall system performance. This study develops and presents a new analytical model for predicting the turn-on switching losses in SiC MOSFETs with Kelvin pin. The proposed model, derived from a carefully constructed set of nonlinear differential equations, accounts for the nonlinearity of the transconductance by incorporating a novel transfer characteristic model. The model also incorporates the nonlinear junction capacitances effects. The developed analytical model allows for the prediction and optimization of turn-on switching losses in SiC MOSFETs, thus enabling improved energy efficiency and reliability. The accuracy of the proposed model is verified through comparison with experimental results obtained using the double pulse test board that was designed and constructed, demonstrating its applicability for the investigation of SiC MOSFET power losses
APF Applied on PV Conversion Chain Network Using FLC †
(MDPI, 2023) Bourourou, Fares; Tadjer, Sid Ahmed; Habi, Idir
This paper focuses on regulation of the parallel active power filter (APF) Dc Voltage bus by judicious choice of rule bases and intervals for each selected fuzzy variable of suitable fuzzy logic controller. In addition, an algorithm describes the main steps for designing an FLC that has any number of rules with direct application to the APF capacitor voltage regulation. Where their simu- lation, by MATLAB, applied to PV conversion chain network will be represented in the booths cases, constant and variable non-linear loads after modeling, to show the effectiveness of this kind of reg- ulators on electrical power quality and improve the reliability of the APF on PV system. The deliv- ered voltage of PV plant has been regulated and controlled with MPPT using P&O technique and FLC regulator after modeling of each part of the conversion chain. PV plant supplies a nonlinear load from the rectifier installed on the output of the conversion chain via a controlled power inverter. A 3 × 3 rules fuzzy regulator is implanted in the control part of the APF to examine the influence of the FLC on the produced electrical power quality. Simulation results are represented and analyze
Axial-Torsional Vibrations Interaction Analysis and Decoupling in Drill String Systems
(2024) Meddah, Sabrina; Tadjer, Sid Ahmed; Kidouche, Madjid
Rotary drilling system is an important and crucial electromechanical system used in petroleum industry, it is used to drill holes and extract oil and gas from targeted reservoirs beneath the surface. The rate of penetration (ROP) is one of the quantitative metrics used to assess the performance of the drilling system. However, the appearance of unwanted vibrations generally leads to decrease of this performance and increase the nonproductive time (NPT), in addition to drill string damages and wears. These vibrations are classified according to their propagation direction into three types: Axial, Lateral and Torsional. Many researches have been dedicated to designing robust controller to mitigate such vibrations separately. Nevertheless, vibrations often occur simultaneously, with interactions between them. This interaction can have a direct influence on the robustness of the designed controllers. Thus, in order to design a robust controller that mitigate the most frequent vibrations (Axial and torsional), it is necessary to analyze the interaction between them and decouple them before application of any controller. The main objective of this study is to analyze the interaction between the axial and torsional vibrations in the Two-input two-output (TITO) drill string model and to design appropriate decouplers for the system. Based on the obtained results, we demonstrate a significant interaction between the torsional and axial vibrations, and proved that the introduced decouplers have omitted these interaction terms with a minimum influence on the whole dynamic of drill-string system. Therefore, applying this decoupling process is highly recommended to enhance the robustness of the controller in mitigating axial and torsional vibrations simultaneously.
Comparative performance evaluation of four photovoltaic technologies in saharan climates of Algeria: ghardaïa pilot station
(Indonesian Journal of Electrical Engineering and Computer Science, 2020) Tadjer, Sid Ahmed; Idir, Abdelhakim; Chekired, Fathia
The aim of this paper is to present an evaluation of the performancerateof four different photovoltaic techniques in the Saharan environment. The purpose of this study is to investigate, analyse, discuss and illustrate the most effective of the different photovoltaic cell technologies (monocrystalline(𝑚−𝑠𝑖), amorphous silicon (𝑎−𝑠𝑖), poly-crystalline silicon (𝑝𝑐−𝑠𝑖)and cadmium telluridethin film(𝐶𝑑𝑇𝑒−𝑇𝐹)) installed in Ghardaia which is located in southern ofAlgeria’s Sahara desert. In order to choose the most suitable technology in the Saharan climate conditions, the energy values produced by the plant were compared to those found by the PVSYST sizing software. The results show that thin-film and amorphous silicon panels produce low illumination, so they are the best choice for the Saharan environment.
Direct components extraction of voltage in photovoltaic active filter connected in a perturbed electrical network (based on robust PLL algorithm)
(2015) Tadjer, Sid Ahmed; Habi, Idir; El Ganaoui, Mohamed; Scipioni, Angel
The quality and performances of the compensation of harmonic currents depends strongly on the performances of the identification blocks of control side of the photovoltaic generators used as active filters. Then, the use of harmonics identification methods is not valid because the network voltage must be sinusoidal and balanced, which is not the case in practice. Hence, to make the application of the identification methods of harmonic currents versatile and for any voltage form, we use the detection system of the fundamental component of the direct voltage. In this paper, a comparison between the conventional method used for extracting the direct component of the network voltage which is based on the phase-locked loop (PLL) and the new approach based on a multivariable extraction filter. Finally, simulation results show that the proposed multivariable filter may better work even if the network voltage is (perturbed and unbalanced). Furthermore, this filters permits to generalize the use of identification methods for filtering the different perturbations of active and reactive current.
Elaboration d'un systéme d'identification des harmoniques dans les réseaux basse tension
(2016) Tadjer, Sid Ahmed
Les charges non linéaires à base de composants électroniques sont la cause principale des perturbations sur le réseau électrique et de la production harmonique. Ces harmoniques ont des effets néfastes qui se manifestent dans le dysfonctionnement de certains équipements. Pour cette raison, des normes standards de limitations des courants harmoniques ont été recommandées pour limiter les harmoniques de courant injectés dans le réseau par des charges non linéaires. La solution du filtrage offre de nombreux avantages. Le but de cette thèse, dans un premier lieu, est d'identifier les perturbations harmoniques. Cette étape d'identification est fondamentale dans le processus de filtrage. Sans une bonne estimation de ces courants, le système de commande, même très efficace, ne pourrait pas apporter à lui seul, les corrections satisfaisantes. Après l'étape d'identification des courants harmoniques et des composantes de la tension réseau, l'étape de commande du FAP doit prendre en considération l'onduleur associé à un filtre de sortie pour restituer avec précision, les courants de compensation. En second lieu et abordée, sont présentées la comparaison entre les méthodes d'identification des harmoniques relativement à : la méthode des puissances instantanées, la méthode des courants diphasés et la méthode du référentiel lié au synchronisme. Finalement, la modélisation et la simulation du fonctionnement d'un réseau électrique intelligent (Smart Grid), les différents scénarios de consommation et de profils de charges gérées par un algorithme de commande des différents commutateurs associés à un réseau intelligent qui va assurer la gestion des sources et des charges, identifier et compenser les harmoniques en rendant son fonctionnement plus efficace avec une bonne qualité de l'énergie électrique
Étude d'un système de compensation d'harmonique en utilisant un générateur photovoltaïque "GPV"
(2008) Tadjer, Sid Ahmed
L’utilisation des convertisseurs statiques dans les installations de conversion d’énergie électrique a considérablement contribué à améliorer les performances et l’efficacité de ces systèmes. En revanche, ils ont participé à détériorer la qualité du courant et de la tension des réseaux de distribution. En effet, ces systèmes consomment des courants non-sinusoidaux, même s’ils sont alimentés par une tension sinusoïdale : ils se comportent comme des générateurs de courants harmoniques. Plusieurs méthodes permettant l’identification des composantes harmoniques du courant à partir du calcul des puissances harmoniques. D’autres méthodes basées sur la soustraction de la partie active du courant fondamental du courant total peuvent être utilisées dans le cas où l’objectif du filtre actif est la compensation à la fois de l’énergie réactive et des harmoniques. Dans notre mémoire, on a choisi de mettre en application la méthode des puissances instantanées sous forme analogique vue sa rapidité. Les systèmes de filtrage actif classiques utilisent une capacité dont la charge est assurée par le réseau lui-même à travers un redresseur ou à travers la diode montée en antiparallèle aux bornes des transistors de l’onduleur en formant ainsi une source flottante. La tension de cette dernière n’est pas constante, à cause de sa sensibilité aux échanges de puissances actives entre la charge polluante et le réseau. Il est alors nécessaire de réguler la tension du bus continu ce qui se fait au détriment des performances du filtrage des harmoniques. C’est pourquoi nous proposons un dispositif de compensation des harmoniques composé d’un Générateur Photovoltaïque GPV pour répondre au mieux aux exigences du système de filtrage
LSTM-Autoencoder Deep Learning Model for Anomaly Detection in Electric Motor
(Multidisciplinary Digital Publishing Institute (MDPI), 2024) Lachekhab, Fadhila; Benzaoui, Messouada; Tadjer, Sid Ahmed; Bensmaine, Abdelkrim; Hamma, Hichem
Anomaly detection is the process of detecting unusual or unforeseen patterns or events in data. Many factors, such as malfunctioning hardware, malevolent activities, or modifications to the data’s underlying distribution, might cause anomalies. One of the key factors in anomaly detection is balancing the trade-off between sensitivity and specificity. Balancing these trade-offs requires careful tuning of the anomaly detection algorithm and consideration of the specific domain and application. Deep learning techniques’ applications, such as LSTMs (long short-term memory algorithms), which are autoencoders for detecting an anomaly, have garnered increasing attention in recent years. The main goal of this work was to develop an anomaly detection solution for an electrical machine using an LSTM-autoencoder deep learning model. The work focused on detecting anomalies in an electrical motor’s variation vibrations in three axes: axial (X), radial (Y), and tangential (Z), which are indicative of potential faults or failures. The presented model is a combination of the two architectures; LSTM layers were added to the autoencoder in order to leverage the LSTM capacity for handling large amounts of temporal data. To prove the LSTM efficiency, we will create a regular autoencoder model using the Python programming language and the TensorFlow machine learning framework, and compare its performance with our main LSTM-based autoencoder model. The two models will be trained on the same database, and evaluated on three primary points: training time, loss function, and MSE anomalies. Based on the obtained results, it is clear that the LSTM-autoencoder shows significantly smaller loss values and MSE anomalies compared to the regular autoencoder. On the other hand, the regular autoencoder performs better than the LSTM, comparing the training time. It appears then, that the LSTM-autoencoder presents a superior performance although it was slower than the standard autoencoder due to the complexity of the added LSTM layers.
Optimizing Smart City Street Lighting: A Hybrid IoT-SAC Approach
(Institute of Electrical and Electronics, 2025) Tercha, Wassila; Chekired, Fathia; Tadjer, Sid Ahmed; Canale, Laurent
The confluence of artificial intelligence (AI) and the internet of things (IoT) is fast changing the concept of smart cities. Smart street lighting is only one example of the great opportunities this potent combination presents for enhancing urban infrastructure. While previous studies have looked into the possibility of combining IoT and Soft Actor-Critic (SAC) for this goal, this work takes a different tack. A simulated Internet of Things system that replicates real-world sensor data is used in our work. The SAC algorithm receives data from this system on variables like ambient light levels, weather, and vehicle and pedestrian traffic. The SAC algorithm modifies street light operation patterns and brightness dynamically within this controlled environment. This enables us to fine-tune the hybrid strategy so that it strikes a balance between user comfort and energy efficiency
PID Control Design of Strongly Coupled Axial-Torsional Vibrations in Rotary Drilling Systems
(Wydawnictwo SIGMA-NOT, 2024) Meddah, Sabrina; Idir, Abdelhakim; Tadjer, Sid Ahmed; Doghmane, Mohamed Zinelabidine; Kidouche, Madjid
Drilling operations can encounter considerable challenges posed by strong, coupled vibrations that exert a complex influence on rotary drilling system performance. These vibrations are classified into three distinct types based on their propagation direction: axial, lateral, and torsional. Previous research efforts have predominantly focused on examining each vibration type in isolation. However, the effectiveness and resilience of developed controllers are profoundly affected by the often overlooked coupling effects arising from other types of vibrations. In this study, we propose the implementation of a Proportional-Integral-Derivative (PID) controller for the coupled Axial-Torsional vibration system. The research presented herein is dedicated to investigate the performance of the controller under strongly coupled vibrations. To address the dynamic vibrations encountered during drilling, it is imperative to understand the intricate behavior of the drill bit in response to these vibrations before designing controllers to mitigate their impact. Numerous models have been proposed in the existing literature to elucidate the behavior of the drill string under axial-torsional vibrations. The objective of this research is to develop a comprehensive model of the drilling system and investigate the robustness of the PID controller to mitigate the adverse effects of coupled Axial-Torsional vibrations. By effectively analysing the obtained results, this study has contributed to the optimization and improvement of drilling operations under sever coupled vibrations.