Publications Scientifiques
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Item Axial-Torsional Vibrations Interaction Analysis and Decoupling in Drill String Systems(2024) Meddah, Sabrina; Tadjer, Sid Ahmed; Kidouche, MadjidRotary 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.Item 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, HichemAnomaly 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.Item 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, MadjidDrilling 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.Item APF Applied on PV Conversion Chain Network Using FLC †(MDPI, 2023) Bourourou, Fares; Tadjer, Sid Ahmed; Habi, IdirThis 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 analyzeItem 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, FathiaThe 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.Item 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, AngelThe 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.