M. ZEMMIT Abderrahim

MCA

Directory of teachers

Department

DEPARTEMENT OF: ELECTRICAL ENGINEERING

Research Interests

Renewable energies systems. power electronics Electrical drives Electrical Energy Conservation Biologically Inspired Optimization Methods

Contact Info

University of M'Sila, Algeria

Email : abderrahim.zemmit@univ-msila.dz

On the Web:

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Recent Publications

2025-01-31

Performance Analysis of Fractionalized Order PID Controller-based on Metaheuristic Optimization Algorithms for Vehicle Cruise Control Systems

Recently, automotive manufacturers have prioritized cruise control systems and controllers, recognizing them as essential components requiring precise and adaptable designs to keep up with technological advancements. The motion of vehicles is inherently complex and variable, leading to significant non-linearity within the cruise control system (CCS). Due to this non-linearity, conventional PID controllers often perform sub optimally under varying conditions. This study introduces a fractionalized-order PID (FrOPID) controller, which incorporates an additional parameter to enhance the performance of conventional PID controllers. A comparative analysis is conducted between classical PID controllers and FrOPID controllers optimized using three metaheuristic algorithms: Harris Hawks Optimization (HHO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). The evaluation is carried out using a linearized model of the vehicle cruise control system (VCCS). The results demonstrate that fractionalized-order PID controllers significantly outperform conventional PID controllers, particularly in terms of rise time and settling time. Among the proposed designs, the integration of HHO and FrOPID proves to be the most effective in achieving a balance between responsiveness and stability, exhibiting exceptional robustness and adaptability to variations in vehicle mass and environmental conditions. This highlights the effectiveness of fractionalized-order controllers in managing the dynamic behavior of vehicles
Citation

M. ZEMMIT Abderrahim, (2025-01-31), "Performance Analysis of Fractionalized Order PID Controller-based on Metaheuristic Optimization Algorithms for Vehicle Cruise Control Systems", [national] SCIENCE, ENGINEERING AND TECHNOLOGY , SCIENCE, ENGINEERING AND TECHNOLOGY

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2024-12-30

Advanced Electrolyzer Modeling and Simulation for Optimized Green Hydrogen Production

In this study, we engineered an advanced electrolyzer utilizing Matlab Simscape. Our primary objective is to Green hydrogen production has emerged as a cornerstone for achieving sustainable energy transitions. Electrolyzer systems play a pivotal role in converting renewable energy into hydrogen, yet their performance is heavily influenced by the design, operation, and integration with renewable energy sources. This study presents an advanced modeling and simulation framework for electrolyzers, emphasizing the optimization of green hydrogen production under dynamic operational conditions. The proposed model incorporates key factors such as temperature, pressure, and electrical input variability to accurately predict electrolyzer performance. By integrating renewable energy sources, such as photovoltaic (PV) systems, and employing novel optimization techniques, this study demonstrates significant improvements in efficiency and hydrogen yield. Comprehensive validation is performed using real-world data, highlighting the model's applicability for large-scale deployment. This research provides a robust foundation for developing cost-effective, efficient, and sustainable green hydrogen production systems, addressing critical challenges in renewable energy integration and contributing to the global energy transition.
Citation

M. ZEMMIT Abderrahim, (2024-12-30), "Advanced Electrolyzer Modeling and Simulation for Optimized Green Hydrogen Production", [national] Algerian Journal of Signals and Systems , Algerian Journal of Signals and Systems

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2024-12-13

Optimization of hydrogen production using MPPT algorithms in a PV system

Optimization of hydrogen production using MPPT algorithms in a PV system
Citation

M. ZEMMIT Abderrahim, (2024-12-13), "Optimization of hydrogen production using MPPT algorithms in a PV system", [international] 4th International Conference on Frontiers in Academic Research , Konya/Turkey.

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2024-12-09

Utilizing Excess Solar Energy for Green Hydrogen Production in Algeria: A Feasibility Study

Utilizing Excess Solar Energy for Green Hydrogen Production in Algeria: A Feasibility Study
Citation

M. ZEMMIT Abderrahim, (2024-12-09), "Utilizing Excess Solar Energy for Green Hydrogen Production in Algeria: A Feasibility Study", [national] 1st National Conference of Advanced Systems in Electrical Engineering (NCASEE'24), , University M'Hamed Bougara of Boumerdes, Algeria.

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Enhancing the Performance of Grid-Connected Photovoltaic Systems Through Storage Integration: A Techno-Economic and Environmental Study

Enhancing the Performance of Grid-Connected Photovoltaic Systems Through Storage Integration: A
Techno-Economic and Environmental Study
Citation

M. ZEMMIT Abderrahim, (2024-12-09), "Enhancing the Performance of Grid-Connected Photovoltaic Systems Through Storage Integration: A Techno-Economic and Environmental Study", [national] 1st National Conference of Advanced Systems in Electrical Engineering (NCASEE'24), , University M'Hamed Bougara of Boumerdes, Algeria.

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2024-11-25

واقع إستخدام تكنولوجيات الإعلام والإتصال بجامعة المسيلة

واقع إستخدام تكنولوجيات الإعلام والإتصال بجامعة المسيلة
Citation

M. ZEMMIT Abderrahim, (2024-11-25), "واقع إستخدام تكنولوجيات الإعلام والإتصال بجامعة المسيلة", [national] استخدام الذكاء االصطناعي ودوره في تجسيد الرقمنة اإلدارية –الواقع والتحديات- , جامعة المسيلة

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2024-11-17

Modeling multi physique of welding by induction

This research primarily focuses on the modeling and simulation of high frequency electromagnetic induction welding of pipes. The objective is to assemble two tubes of varying diameters. We have elucidated the electromagnetic and thermal mathematical models of our welding configuration and conducted a comprehensive analysis of the impact of various parameters on the quality of the welding process.
Citation

M. ZEMMIT Abderrahim, (2024-11-17), "Modeling multi physique of welding by induction", [national] 8th National Colloquim on Inductics : University – Industry / University of M'sila – Algeria , msila

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2024-11-06

Sensors and Measurements Dedicated to Renewable Energy System

مطبوعة دروس بالإنجليزية
Citation

M. ZEMMIT Abderrahim, (2024-11-06), "Sensors and Measurements Dedicated to Renewable Energy System", [national] جامعة المسيلة

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2024-11-05

Robust direct power control of a three-phase PWM rectifier

This paper presents two robust controls techniques: current control in the dq reference frame and direct power control (DPC) applied to a three-phase PWM rectifier to achieve efficient dc voltage regulation, unit power factor control and harmonic distortion rate reduction. Simulations were performed using Matlab/Simulink software. According to these results, the DPC direct power control seems to be more efficient than the current control in the dq reference frame, which has a lower harmonic distortion rate, and the DC voltage follows its new reference for the two developed controls. However, the response time, overshoot and oscillations of the controlled quantities, as well as the exponential convergence of the errors for the transient regime and the setpoint change, are different. It can be seen that the best values of the latter are those obtained by applying the DPC direct power control, which is considered to be the best performing and most efficient control compared to the other control.
Citation

M. ZEMMIT Abderrahim, (2024-11-05), "Robust direct power control of a three-phase PWM rectifier", [national] Studies in Engineering and Exact Sciences , Studies in Engineering and Exact Sciences

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2024-10-24

Enhancing Efficiency and Performance of Photovoltaic Systems through Machine Learning Integration

This research examines the possibility of incorporating Machine Learning, a data-driven approach that learns from experience, into photovoltaic (PV) systems to significantly improve their efficiency and performance. Machine Learning offers a powerful and efficient way to solve complex problems by learning patterns and relationships from data. In this study, the authors explore the application of this technique in optimizing critical parameters within PV systems, such as module orientation, tilt angle, and power management. The research presents a comprehensive analysis of Machine Learning’s performance when applied to various photovoltaic systems in varying environmental conditions and load demands. The results demonstrate that the integration of Machine Learning leads to substantial improvements in system efficiency, energy output, and overall performance. This is achieved by optimizing the PV system’s parameters to maximize energy generation while minimizing energy losses and maintaining stability under fluctuating load conditions. Additionally, the paper discusses the advantages of using Machine Learning over traditional optimization techniques, such as its ability to manage problem optimization issues that are nonlinear and non-convex in nature, effectively. The authors also highlight the potential for further research in this area, including the exploration of other data-driven optimization techniques and the development of advanced control strategies for PV systems.
Citation

M. ZEMMIT Abderrahim, (2024-10-24), "Enhancing Efficiency and Performance of Photovoltaic Systems through Machine Learning Integration", [international] International Conference on Emerging Intelligent Systems for Sustainable Development (ICEIS 2024) , Aflou

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2024-10-16

Influence of operating parameters on the fatigue life of materials: a combined experimental and statistical study

Today, material fatigue is a crucial area of modern engineering because it has a major impact on the durability and reliability of mechanical components in many industrial systems. The understanding of fatigue mechanisms and their behaviour under different operating conditions is essential for the design of robust and durable systems. This experimental study focuses on the fatigue behaviour resulting from rotational bending of nationally produced materials. The main elements are the determination of the fatigue limit for a given fatigue cycle and the endurance limit. To characterise the fatigue resistance of the material by testing a group of identical specimens subjected to cycles of a given shape. To study the effect of three operational variables, namely hardness (H), surface roughness (Ra) and applied stress (σ), on the response under investigation, i.e. the life of the specimen (number of cycles), experiments were carried out using a Taguchi L18 mixed experimental set. Finally, the results obtained were statistically analysed using analysis of variance (ANOVA) and response surface methodology (RSM). From the experimental results and the analyses carried out, the results show that the applied stress is the statistically most dominant factor on specimen fatigue (life) with a contribution of 38.53%, followed by the stiffness factor with a contribution of 32.81%. Finally, based on the Taguchi method and the Response Surface Model (RSM) developed, it is judged that the higher value obtained for the coefficient of determination (over 80%) clearly shows the strong correlation between predicted and experimental data.
Citation

M. ZEMMIT Abderrahim, (2024-10-16), "Influence of operating parameters on the fatigue life of materials: a combined experimental and statistical study", [national] Studies in Engineering and Exact Sciences , Studies in Engineering and Exact Sciences

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2024-10-01

New design of robust controller based on fuzzy 12 linguistic variables for wind power conversion system.

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

M. ZEMMIT Abderrahim, (2024-10-01), "New design of robust controller based on fuzzy 12 linguistic variables for wind power conversion system.", [national] Przegląd Elektrotechniczny , Przegląd Elektrotechniczny

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2024-09-20

Robust control based on type-2 fuzzy logic for permanent magnet synchronous motor (PMSM)

This paper introduces a novel control technique utilizing the orientation of stator flux based on type 2 fuzzy controllers to control the mechanical power generated by a permanent magnet synchronous motor and addressing parametric variation challenges to enhance robust performance against external fluctuations. The Permanent Magnet Synchronous Motors driven by stator variables via two converters relies on these components to interface with the electrical network in distinct manners. The network-side converter facilitates continuous bus control and enhances power factor, while the motor-side converter enables precise control and optimization of energy flow during motor operation. The paper outlines the motor and converter models, followed by the development of control commands to regulate mechanical power (speed, torque) for optimal efficiency and production quality and we will then present a comparative study between the developed controls to highlight the best performing and most robust of each, . Numerical simulations demonstrate the effectiveness of implementing type 2 fuzzy logic control in achieving these objectives.
Citation

M. ZEMMIT Abderrahim, (2024-09-20), "Robust control based on type-2 fuzzy logic for permanent magnet synchronous motor (PMSM)", [national] Studies in Engineering and Exact Sciences , Studies in Engineering and Exact Sciences

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2024-09-17

Performance evaluation and analysis of public-key schemes in embedded IoT devices

The Internet of Things (IoT) is considered one of the emerging technologies that have attracted widespread attention from industry and academia as a result of their ability to use them in many applications, including military, healthcare, and industrial control. The inherent vulnerabilities in communications of IoT networks, which consist of resource-constrained devices, pose significant security challenges. To protect sensitive data exchanged within these networks, it is necessary to design and implement lightweight and efficient cryptographic schemes that consider resource-constrained IoT devices. This paper evaluates the performance of five well-known public-key schemes on three real-world IoT devices including IOTLAB-M3, Arduino-Zero, and Decawave DWM1001. The examined public-key schemes are categorized into two classes: integer factorization-based (RSA and Rabin schemes) and elliptic curve-based (ECIES, ECDH, and ECDSA schemes). By conducting comprehensive experiments, we compare these schemes in terms of computational time and energy consumption, providing valuable insights for selecting optimal public-key schemes in resource-constrained IoT environments.
Citation

M. ZEMMIT Abderrahim, (2024-09-17), "Performance evaluation and analysis of public-key schemes in embedded IoT devices", [national] Studies in Engineering and Exact Sciences , Studies in Engineering and Exact Sciences

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2024-09-15

MULTI-LEVEL DTC_SVM FOR DUAL STAR INDUCTION MOTOR FED BY DPC RECTIFIER

MULTI-LEVEL DTC_SVM FOR DUAL STAR INDUCTION MOTOR FED BY DPC RECTIFIER
Citation

M. ZEMMIT Abderrahim, (2024-09-15), "MULTI-LEVEL DTC_SVM FOR DUAL STAR INDUCTION MOTOR FED BY DPC RECTIFIER", [international] 5th International Conference on Frontiers in Academic Research , Konya/Turkey.

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2024-09-02

Effect of friction pressure on microstructure and mechanical properties of friction welded joint between alumina and 1100 aluminum alloy

Friction welding (FW) is a solid-state joining process that has received considerable attention in recent years due to its efficacy in joining similar and dissimilar materials. In this experimental study, dissimilar joints of alumina (Al2O3) ceramic and 1100 aluminum alloy were produced by friction welding. The objective was to investigate the impact of welding parameters on the mechanical and structural properties of the welded joints. Welding processes were conducted using a continuous drive friction welding (CDFW) machine, under different friction pressures (20, 34 and 45 MPa), whereas other welding parameters are kept constant. The strength and mechanical properties of the welded Joints were assessed by means of a three-point bending test and Vickers micro-hardness measurements. Furthermore, the microstructure of the Joints was examined using optical microscopy (OM) and scanning electron microscopy (SEM). The results showed that friction pressure has a significant effect on the structural and mechanical properties of the joints.
Citation

M. ZEMMIT Abderrahim, (2024-09-02), "Effect of friction pressure on microstructure and mechanical properties of friction welded joint between alumina and 1100 aluminum alloy", [national] Studies in Engineering and Exact Sciences , Studies in Engineering and Exact Sciences

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2024-09-01

Super-Twisting MRAS Observer-Based Non-linear Direct Flux and Torque Control for Induction Motor Drives

This research paper proposes a novel design of an efficient combined sliding mode observer (SMO) for induction motor flux and speed estimation. The suggested sensorless technique employs the sliding mode’s second-order approach using a model reference adaptive system (MRAS). The second-order super-twisting control method is free-chattering, which lowers the chattering effect while preserving the same good features as the first-order sliding mode control (SMC). In addition, the conjunction with the MRAS as a separated speed estimator can raise the accuracy and make the observer immune to speed fluctuations, particularly for low-speed applications. Furthermore, in order to achieve effective decoupled flux–torque control, the super-twisting algorithm (STA) was combined with a non-linear feedback linearisation controller for the inner control loop construction. This strategy can boost the control system’s stability and robustness against external disturbances and modelling uncertainty. The performance analysis of the suggested methods has been carried out via simulation and experimental validation utilizing MATLAB/Simulink with the dSpace 1104 real-time interface.
Citation

M. ZEMMIT Abderrahim, (2024-09-01), "Super-Twisting MRAS Observer-Based Non-linear Direct Flux and Torque Control for Induction Motor Drives", [national] Power Electronics and Drives , Elsevier

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2024-08-25

New Direct Torque Control of Dual Star Induction Motor using modified Grey Wolf Optimization Technique (mGWO)

This document compares two ways for direct torque management of the dual star induction motor drive (DSIM): standard PID and innovative heuristic optimization based on the modified grey wolf optimizer mGWO-PID. DSIM speed control loop issues can be reduced by this combination. Programming and MATLAB implementation of the mGWO algorithm. The most important mGWO-PID method reduces high torque ripple, steady-state error, rising time, and drive performance disturbances.
Citation

M. ZEMMIT Abderrahim, (2024-08-25), "New Direct Torque Control of Dual Star Induction Motor using modified Grey Wolf Optimization Technique (mGWO)", [international] 5 TH INTERNATIONAL CONFERENCE ON ENGINEERING AND APPLIED NATURAL SCIENCES , Konya/Turkey.

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Enhanced Security for IoT Data Transmission

There has a remarkable amount of progress in the Internet of Things (IoT) in terms of
healthcare applications and everyday activities. IoT enables everyday objects to be connected to the
Internet. These devices are equipped with sensors and actuators that enable data collection and sharing.
However, the transmission of this data may be subject to several security and privacy concerns. To secure
data transmission in IoT networks, a mutual authentication and key management scheme (SDTS) has
proposed recently. However, this scheme suffers from security flaws such as Man-in-the-Middle (MITM)
attack vulnerabilities and a lack of mutual authentication between IoT devices. As a result of these
weaknesses, this paper proposes an enhanced scheme to address these vulnerabilities. By utilizing the
cryptographic library RELIC, the proposed scheme is implemented and evaluated through experiments
using IoTLAB-M3 devices equipped with ARM Cortex M3 micro-controllers. Compared to SDTS, the
proposed scheme achieves improved security and performance, as well as lower computational,
communication, and energy costs.
Citation

M. ZEMMIT Abderrahim, (2024-08-25), "Enhanced Security for IoT Data Transmission", [international] 5 TH INTERNATIONAL CONFERENCE ON ENGINEERING AND APPLIED NATURAL SCIENCES , Konya/Turkey.

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2024-08-13

Measurement and evaluation of the flashover voltage on polluted cap and pin insulator: An experimental and theoretical study

This study investigates the flashover voltage on high voltage insulators in polluted environments, employing a combination of experimental and theoretical approaches. Utilizing Analysis of Variance (ANOVA) and the Finite Element Method (FEM), the research aims to offer a thorough comprehension of the phenomenon. The experimental aspect of the study involves subjecting insulators to polluted environments, replicating real-world scenarios, and measuring the resulting flashover voltages. This experimental study focuses on investigating flashover pollution, where artificial pollution is introduced into an experimental model. An observational approach is employed to assess the impact of conductivity and pollution distribution on the 1512 L cap and pin insulator, as well as its proposed experimental model. Complementing the experimental approach, the theoretical aspect of the study employs the FEM method to simulate and model the insulator's behaviour under pollution. This computational technique enables a detailed analysis of the electrical field distribution, surface potential, and stress repartition across the surface of the insulator. Simulations further explore the impact of pollution on flashover voltage and leakage current. The FEM results are then compared with experimental findings to validate the model's accuracy and reliability. By analyzing the collected data, the ANOVA technique is applied to identify significant differences in flashover voltage under diverse pollution levels. This statistical approach allows for the determination of the most influential factors affecting insulator performance. This research offers valuable insights into the influence of flashover voltage on high-voltage insulators in polluted environments, contributing to the development of more robust and efficient insulation systems. The combination of ANOVA and FEM methods provides a robust framework for understanding and predicting insulator performance, ultimately benefiting the power industry and promoting energy sustainability.
Citation

M. ZEMMIT Abderrahim, Lyamine Ouchen, , (2024-08-13), "Measurement and evaluation of the flashover voltage on polluted cap and pin insulator: An experimental and theoretical study", [national] Electric Power Systems Research , Elsevier

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2024-07-21

A novel application of artificial intelligence technology for outdoor high-voltage composite insulator

The distribution of the electric field plays a crucial role in evaluating the effectiveness of composite insulators. This research presents an innovative approach for optimizing the design of corona rings, aiming to decrease the electric field intensity in critical areas to satisfactory levels. The investigation examined the correlation among corona ring design variables and the intensity of the electric field close to the energized-end fitting in a 220 kV composite insulator equipped with a corona ring. Using design of experiment methods, the impact of three corona ring design parameters – corona ring diameter (R), ring tube diameter (Dr), and corona ring height (H) – was assessed. A novel nonlinear mathematical objective function was formulated, connecting the electric field magnitude to the structural parameters of the corona ring. Subsequently, the Bat algorithm, a bio-inspired optimization technique, was employed to enhance the initial corona ring design and mitigate the electric field intensity. Finally, the Finite Element Method (FEM) was utilized to simulate and evaluate the voltage distribution and electric field stress. The optimization process resulted in a substantial decrease in the highest electric field magnitude, by 58.6 % compared to the insulator with the threshold value, and 75 % when devoid of a corona ring. Additionally, the research highlighted the significant influence of ring tube thickness on the distribution of the electric field. The combination of experimental design and the Bat algorithm proved to be a powerful tool for optimizing the design of corona rings on transmission line composite insulators, providing precise solutions for optimizing corona discharge problems and enhancing the reliability of power transmission systems.
Citation

M. ZEMMIT Abderrahim, Abdelhafid Bayadi, Lyamine Ouchen, , (2024-07-21), "A novel application of artificial intelligence technology for outdoor high-voltage composite insulator", [national] Measurement , Elsevier

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2024-07-19

AI-Powered Fault Detection in MPPT Algorithms Utilizing Artificial Neural Networks for Enhanced Photovoltaic System Performance

AI-Powered Fault Detection in MPPT Algorithms Utilizing Artificial Neural Networks for Enhanced Photovoltaic System Performance
Citation

M. ZEMMIT Abderrahim, (2024-07-19), "AI-Powered Fault Detection in MPPT Algorithms Utilizing Artificial Neural Networks for Enhanced Photovoltaic System Performance", [international] 4th International Conference on Scientific and Academic Research . , 19-20 July in 2024 at Konya/Turkey.

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2024-07-07

HYBRID TYPE-1 AND 2 FUZZY SLIDING MODE CONTROL OF THE INDUCTION MOTOR

This paper focuses on developing two innovative induction motor (IM) control techniques. These techniques are based on the hybridization of Lyapunov theory (sliding mode) and artificial intelligence (type 1 and type 2 fuzzy logic). We will then compare these two control techniques to determine which is more robust. This comparative analysis will be based on a series of tests that we have carried out, covering the system's transient and steady-state operations under identical conditions. The first test involves observing the simulation results obtained by applying these control techniques to the motor to control the generated mechanical power. This qualitative comparison enables these controls to be evaluated for and without the application of external variations. The second test quantifies the different control laws based on quantified measurements, highlighting the performance of each technique in terms of error and time. This test is called a quantitative comparison. Finally, the last examination involves altering the machine parameters, as these values naturally experience fluctuations caused by diverse physical phenomena like inductance saturation and heating of the resistors. This comparison enables the robustness of the control techniques to be assessed.
Citation

M. ZEMMIT Abderrahim, (2024-07-07), "HYBRID TYPE-1 AND 2 FUZZY SLIDING MODE CONTROL OF THE INDUCTION MOTOR", [national] Revue Roumaine des Sciences Techniques, Série Électrotechnique et Énergétique , Revue Roumaine des Sciences Techniques

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2024-06-22

A new robust controller based on type-1 fuzzy logic and IP regulator for induction motor

The novelty of the work proposed a new controller based on type 1 fuzzy logic and IP regulator, the new controller applies to the asynchronous machine driven by a PWM inverter. Flux-directed vector control is considered one of the most effective control methods due to its ease of design and implementation. Proportional integral (PI) controllers are used to implement this method. The controllers parameters are calculated using traditional analytical methods directly from the machine parameters. This requires rigorous calculation and a thorough understanding of all machine parameters. Improve the performance of flow-oriented vector control (reduction of oscillations, driving of loads at variable speeds, etc.). The performance improvement was achieved firstly by changing the location of the proportional and integral regulators. Then, by a regulator that combines the integral proportional (IP) regulator and type 1 fuzzy logic in the MATLAB environment. A new architecture of the flow-oriented vector control controller, based on the combination between the IP regulator and type 1 fuzzy logic. The control makes it possible to improve the dynamic performance of the induction motor. The main possibility of creating an efficient controller based on the fuzzy logic of type 1 of the induction motor.
Citation

M. ZEMMIT Abderrahim, (2024-06-22), "A new robust controller based on type-1 fuzzy logic and IP regulator for induction motor", [national] A new robust controller based on type-1 fuzzy logic and IP regulator for induction motor , Studies in Engineering and Exact Sciences

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2024-06-17

PID Controller Design with a New Method Based on Fractionalized Integral Gain for Cruise Control System

In this study, a fractionalized PID controller based on particle swarm optimization (PSO/FrPID) is presented for automobile cruise control systems. This system, known for its significant nonlinearity, has been linearized around its equilibrium point. In this method, the PID controller is designed using fractionalized integral and integer orders. This approach increases the parameters of the modified PID controller to four. The effectiveness of the proposed controller is evaluated in comparison to traditional PID methods, atomic search optimization (ASO/PID), particle swarm optimization (PSO/PID), and the genetic algorithm (GA-PID). The proposed methodology for the functioning of the vehicle cruise control system has proven to be superior to other promising methods documented in the literature, as confirmed by comparative evaluations that take into account both transient and frequency stability.
Citation

M. ZEMMIT Abderrahim, (2024-06-17), "PID Controller Design with a New Method Based on Fractionalized Integral Gain for Cruise Control System", [international] 2024 IEEE International Conference on Environment and Electrical Engineering and 2024 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe) , Roma ; Italy

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2024-05-27

Diagnosis of a DC-DC converter boost using the Artificial Neural Networks ANNs

As we know in most the components of electrical equipment age during their operational life, which can be more or less long depending on the nature and degree of stress to which they are subjected, resulting in a degradation of performance to improve the reliability of the system. Industrial applications the DC machines are powered by a chopper voltage source. These machines are sensitive to different types of defects occurring to switches, capacitors and coils the need to conduct studies for the detection, localization and maintenance of defects become crucial. To avoid serious faults in DC-DC converters, several concepts have been applied to the diagnosis of these. The ANN method is used to diagnose DC-DC converters.
Citation

M. ZEMMIT Abderrahim, (2024-05-27), "Diagnosis of a DC-DC converter boost using the Artificial Neural Networks ANNs", [national] Studies in Engineering and Exact Sciences , Studies in Engineering and Exact Sciences

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2024-05-21

Enhancing fuel cell efficiency through advanced digital twin modeling

In this study, we embark on a comprehensive exploration aimed at advancing Fuel Cell Modeling through the sophisticated computational capabilities offered by Matlab Simscape. Our primary objective is to engineer an advanced digital twin that not only replicates but faithfully captures the intricate characteristics inherent in real-world Fuel Cell models. This digital counterpart assumes a pivotal role in our research, serving as a dynamic tool for continuous monitoring of the operational dynamics exhibited by actual Fuel Cells. It stands as a dependable reference point, enabling us to delve deeper into the complexities of these systems. However, the significance of our digital twin transcends mere emulation. It emerges as a stable benchmark against which deviations in real Fuel Cell data can be discerned and analyzed, thereby facilitating meticulous error analysis. Through meticulous alignment with its physical counterpart, our approach offers a precise instrument for anomaly detection, providing invaluable insights into potential errors within the authentic Fuel Cell system. This innovative methodology not only enhances the efficiency of error detection but also revolutionizes the comprehensive evaluation of reliability and performance within the fuel cell domain under scrutiny. By integrating state-of-the-art computational capabilities with the intricacies of real-world systems, our research signifies a paradigm shift in the study and optimization of fuel cell technologies. The intricate interplay between simulation and reality paves the way for a deeper understanding of fuel cell behavior, enabling us to uncover nuances that were previously inaccessible. This holistic approach not only improves our ability to detect and rectify errors but also enhances our capacity to optimize fuel cell performance in diverse applications. Ultimately, our research endeavors to bridge the gap between theoretical modeling and practical implementation, offering a robust framework for advancing the efficiency, reliability, and performance of fuel cell systems in real-world scenarios.
Citation

M. ZEMMIT Abderrahim, (2024-05-21), "Enhancing fuel cell efficiency through advanced digital twin modeling", [national] Studies in Engineering and Exact Sciences , Studies in Engineering and Exact Sciences

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2024-05-12

Adaptive Symmetrical PLL Based Impedance Shaping and Modelling Method to Improve Stability in Weak Grid

his paper introduces an Adaptive Symmetrical Phase-Locked Loop (AS-PLL) designed to address various issues associated with traditional PLLs. An improved PLL architecture has been developed, the new PLL topologie allows to reduce frequency coupling and prevents unwanted sub-synchronous resonance oscillation resulting from classical asymmetry PLL. The system stability has been by integrating a structure and model into the PLL. Additionally, the impedance shaping method is used, with the assistance of the impedance model, to design state feedback loops that offer flexibility in bandwidth for the PLL. This was done while considering the current/power control loops to stabilise the system in the presence of a weak grid, The simulation results clearly illustrate the accuracy and effectiveness of the proposed strategy.
Citation

M. ZEMMIT Abderrahim, (2024-05-12), "Adaptive Symmetrical PLL Based Impedance Shaping and Modelling Method to Improve Stability in Weak Grid", [international] 2024 2nd International Conference on Electrical Engineering and Automatic Control (ICEEAC) , Setif

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2024-05-02

تأطير طالب 5 نجوم _ ليسانس

تأطير طالب ليسانس 5 نوم
Citation

M. ZEMMIT Abderrahim, (2024-05-02), "تأطير طالب 5 نجوم _ ليسانس", [national] جامعة المسيلة

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2024-04-29

Examining electrical equivalent circuit models of insulators in transmission lines under pollution conditions: a comprehensive study and analysis

This research presents a comprehensive study investigating the behavior of insulators in transmission lines under various pollution conditions. Utilizing equivalent electrical circuits, the analysis aims to understand the impact of pollution on insulator performance, which is crucial for maintaining the reliability and efficiency of power transmission systems. By providing valuable insights into the relationship between pollution and insulator behavior, this study contributes to the development of improved strategies for mitigating the effects of pollution on transmission lines, ultimately enhancing the overall safety and stability of electrical power networks. The study focuses on a digital model that enables the visualization of potential and electric field distribution within a series of glass insulators utilized in Algerian electrical grids. Initially, a parallel RC network equivalent circuit was devised and its parameters were determined through finite element analysis using Comsol Multiphysics. This equivalent circuit was subsequently integrated into ATP/EMTP software to simulate leakage currents, yielding satisfactory outcomes. The model was then incorporated into the isolator's equivalent circuit. Results from various simulations indicate that the occurrence of discharge along the dry strip impacts leakage current. Furthermore, the re-initiation of discharge on the contaminated insulator's surface is influenced by the pollutant deposit's conductivity and distribution. Therefore, understanding the pollution level is vital for accurately evaluating and sizing the insulator chain at the installation site.
Citation

M. ZEMMIT Abderrahim, (2024-04-29), "Examining electrical equivalent circuit models of insulators in transmission lines under pollution conditions: a comprehensive study and analysis", [national] Studies in Engineering and Exact Sciences , Studies in Engineering and Exact Sciences

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2024-04-23

Experimental investigation on dielectric properties of 1512L insulator using finite element analysis (FEM)

In this work, a study on a cap and pin insulator (1512L) is proposed to evaluate the distribution of the electric field and the potential along the insulator under different conditions. A computational and experimental study for the examination of a real insulators model is assessed. Tests on contaminated insulators in the laboratory under the suggested conditions have been carried out. Finite element methods (FEM) have been employed in the numerical analysis to assess the electrical properties of the insulator under the suggested contamination profiles, including potential and electric field. The study proposed in this paper provides an effective and practical tool for analysis and enhance the dielectric properties of the studied insulator.
Citation

M. ZEMMIT Abderrahim, (2024-04-23), "Experimental investigation on dielectric properties of 1512L insulator using finite element analysis (FEM)", [national] Diagnostyka , Polish Society of Technical Diagnostics

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2024-04-22

Robust fuzzy – backstepping mode control of an induction motor

This paper presents a novel control for induction motors using backstepping control and fuzzy logic. The Backstepping control is suggested as a substitute for the conventional PI controller to attain high-performance motion control systems for the speed, flux, and current control loops. Stability analysis, based on Lyapunov theory, is also conducted to guarantee the convergence of the speed tracking error from all possible initial conditions. The speed regulator was changed to a fuzzy logic regulator. The simulation results confirm that the proposed hybrid control fuzzy-backstepping scheme offers improved performance in terms of trajectory tracking ability and robustness against variation when subjected to time-varying reference input.
Citation

M. ZEMMIT Abderrahim, (2024-04-22), "Robust fuzzy – backstepping mode control of an induction motor", [national] Studies in Engineering and Exact Sciences , Studies in Engineering and Exact Sciences

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A new improved of incorporating photovoltaic energy into the production of green hydrogen

The integration of renewable energies, particularly photovoltaic energy, into green hydrogen production presents a highly promising prospect in the energy sector. Nonetheless, these energy sources face challenges due to their inherent instability and susceptibility to various atmospheric factors such as temperature and illumination. Therefore, it's imperative to tackle these challenges before renewable energy can be widely adopted as a primary source in hydrogen production. To address this, we propose constructing an autonomous photovoltaic system using MATLAB software. This system will employ a DC-DC boost converter to connect the PV array to the load. Furthermore, to enhance the efficiency of photovoltaic power generation, we will implement the perturbation and observation maximum power point tracking (MPPT) approach. The research endeavor extends towards integrating this optimized system with an electrolysers developed a sophisticated electrolyte model utilizing MATLAB Simulink software, paving the way for hydrogen gas production.
Citation

M. ZEMMIT Abderrahim, (2024-04-22), "A new improved of incorporating photovoltaic energy into the production of green hydrogen", [national] Diagnostyka , Diagnostyka

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2024-03-05

Turbomachine

Turbomachine
Citation

M. ZEMMIT Abderrahim, (2024-03-05), "Turbomachine", [national] University of M'Sila

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2024-02-02

- الماستر _ تأطير طالب 5 نجوم

تأطير طالب 5 نوم _ الماستر
Citation

M. ZEMMIT Abderrahim, (2024-02-02), "- الماستر _ تأطير طالب 5 نجوم", [national] جامعة المسيلة

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2024-02-01

New Direct Torque Control of Dual Star Induction Motor using Grey Wolf Optimization Technique.

This document shows a comparative study between two approaches for the direct torque control of the dual star induction motor drive (DSIM), the first is based on conventional PID, the second uses new heuristic optimization technique based on the grey wolf optimizer GWO-PID. The benefits of this combination can reduce the Dual SIM speed control loop problems. The GWO algorithm has been programmed and implemented in MATLAB. In addition, the most importance appropriate GWO-PID scheme combines simultaneously many index such as reducing high torque ripple, steady-state error is reduced, response time is improved and disturbances do not change the drive performance.
Citation

M. ZEMMIT Abderrahim, (2024-02-01), "New Direct Torque Control of Dual Star Induction Motor using Grey Wolf Optimization Technique.", [national] Przeglad Elektrotechniczny , Przeglad Elektrotechniczny

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2023-11-28

Advanced Electrolyzer Modelisation for Green Hydrogen Production

In this work, we designed an advanced electrolyzer using Matlab Simscape. The main goal is to connect this component with a renewable energy source such as photovoltaic energy, wind energy, or a hybrid between them. And finding new technologies to control energy conversion in order to establish an integrated and much optimised system for the production of green hydrogen.
Citation

M. ZEMMIT Abderrahim, Bouzaki Mohammed Moustafa, , (2023-11-28), "Advanced Electrolyzer Modelisation for Green Hydrogen Production", [international] International Conference on Environmental Engineering and Renewable Energy (ICENVERE - 23) , Milan, Italy

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2023-06-28

Speed control of doubly fed induction motor using backstepping control with interval type-2 fuzzy controller

The control of the doubly-fed induction motor is a complex operation because of this motor characterised by a non-linear multivariable dynamics, having settings that change over time and a significant link between the mechanical component and magnetic behavior (flux) (speed and couple). This article then proposes a new strategy of a robust control of this motor, which is decoupled due to the stator flux’s direction. The proposed control is integrated with the backstepping control which based on Lyapunov theory; this approach consists in
constructively designing a control law of nonlinear systems by considering some state variables as being virtual commands, and the important branch of artificial intelligence type-2 fuzzy logic. The hybrid control backstepping-fuzzy logic consists in replacing the regulators applied to the backstepping control by regulators based on type-2 fuzzy logic. This control will be evaluated by numerous simulations where there is a parametric and non-parametric variation.
Citation

M. ZEMMIT Abderrahim, (2023-06-28), "Speed control of doubly fed induction motor using backstepping control with interval type-2 fuzzy controller", [national] Diagnostyka , A. Herizi

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2023-05-15

Performance Improvement of Aircraft pitch angle using the Fractional Order Adaptive PID Controller

Fractional calculus has been rediscovered by scientists and engineers in the last two decades, and applied in an increasing number of fields, namely control theory. The current research work presents the use of the fractional adaptive PID controller approach optimized by a genetic algorithm to improve the performances (rise time, setting time, overshoot, and mean absolute error) for aircraft by introducing a fractional order integrator and differentiator in the classical feedback adaptive PID controller. To validate the arguments, the effectiveness and performance analysis
of the proposed fractional order adaptive PID controller optimized by a genetic algorithm have been studied in comparison to the classical adaptive PID controller. Numerical simulation and analysis are presented to verify the best controller. The fractional order adaptive PID gives the best results in terms of settling time, rise time, overshoot, and mean absolute error. This approach can also be generalized to other fractional and integer systems in order to improve their performances and noise rejection.
Citation

M. ZEMMIT Abderrahim, (2023-05-15), "Performance Improvement of Aircraft pitch angle using the Fractional Order Adaptive PID Controller", [national] PRZEGLĄD ELEKTROTECHNICZNY , Portal informacji technicznej

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2023-05-02

New MPPT Control Methods for Grid Connected PV System to Produce Green Hydrogen

in 1st International Conference on Recent Academic Studies ICRAS 2023 on May 2-4, 2023
in Konya, Turkey
Citation

M. ZEMMIT Abderrahim, (2023-05-02), "New MPPT Control Methods for Grid Connected PV System to Produce Green Hydrogen", [international] in 1st International Conference on Recent Academic Studies ICRAS 2023 on May 2-4, 2023 in Konya, Turkey , Konya, Turkey

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2023-04-18

Integration of Renewable Energy in Green Hydrogen Generation

Integration of Renewable Energy in Green Hydrogen Generation
PRESENTATION TYPE Oral
Citation

M. ZEMMIT Abderrahim, (2023-04-18), "Integration of Renewable Energy in Green Hydrogen Generation", [international] 1st International Conference on Scientific and Innovative Studies ICSIS 2023 on April 18-20, 2023 in Konya, Turkey , Konya, Turkey

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2022-07-20

Direct Torque Control of Dual Star Induction Motor using Grey Wolf Optimization Technique (GWO)

Direct Torque Control of Dual Star Induction Motor using Grey Wolf
Optimization Technique (GWO)
Citation

M. ZEMMIT Abderrahim, (2022-07-20), "Direct Torque Control of Dual Star Induction Motor using Grey Wolf Optimization Technique (GWO)", [international] 3rd International Conference on Applied Engineering and Natural Sciences on 20-23 July in 2022 at Konya/Turkey. , Konya/Turkey.

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2022-04-02

Bio-inspired optimization algorithms for improving a variable step size Maximum Power Point Tracking method for photovoltaic systems

1st International Conference on Autonomous Systems and their Applications (ICASA'22).
Citation

M. ZEMMIT Abderrahim, (2022-04-02), "Bio-inspired optimization algorithms for improving a variable step size Maximum Power Point Tracking method for photovoltaic systems", [international] 1st International Conference on Autonomous Systems and their Applications (ICASA'22). , El-Tarf , Algeria

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2021-02-01

A New Improved Variable Step Size MPPT Method for Photovoltaic Systems Using Grey Wolf and Whale Optimization Technique Based PID Controller

In this work, we have developed two new intelligent maximum power point tracking (MPPT) techniques for photovoltaic (PV) solar systems. To optimize the PWM duty cycle driving the DC/DC boost converter, we have used two optimization algorithms namely the whale optimization algorithm (WOA) and grey wolf optimization (GWO) so we can tune the PID controller gains. The oscillation around the MPP and the fail accuracy under fast variable isolation are among the well-known drawbacks of conventional MPPT algorithms. To overcome these two drawbacks, we have formulated a new objective fitness function that includes WOA/GWO based accuracy, ripple, and overshoot. To provide the most relevant variable step size, this objective fitness function was optimized using the two aforementioned optimization algorithms (i.e., WOA and GWO). We have carried out several tests on Solarex MSX-150 panel and DC/DC boost converter based PV systems.

In the simulation results section, we can clearly see that the two proposed algorithms perform better than the conventional ones in term of power overshoot, ripple and the response time.
Citation

M. ZEMMIT Abderrahim, (2021-02-01), "A New Improved Variable Step Size MPPT Method for Photovoltaic Systems Using Grey Wolf and Whale Optimization Technique Based PID Controller", [national] Journal Européen des Systèmes Automatisés , iieta

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2020

VIRTUAL UNIVERSITY MSILA

Virtual University is a model of integrated virtual education where its role is highlighted through its contribution to meeting the increasing need for qualification and training through a relatively flexible electronic learning system (in place and time). It also provides the nature of the work performed by this university that has the opportunity to turn into a national experience center capable of providing an example A model for the reproduction of traditional works (education, exams, student information, etc.) according to the modern formula, relying on information and communication technologies.
Citation

M. ZEMMIT Abderrahim, (2020), "VIRTUAL UNIVERSITY MSILA", [national] The digital transformation at the Algerian University: r eality and challenges , كلية الحقوق -جامعة المسيلة - فيفري2020

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2019

المرافقة البيداغوجية

المرافقة البيداغوجية
Citation

M. ZEMMIT Abderrahim, (2019), "المرافقة البيداغوجية", [national] يوم تكويني من تنظيم مركز اليقظة البيداغوجية , جامعة المسيلة

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Acoustique appliquée

Pour pouvoir tirer le maximum de ce cours il faut connaître : Physique des milieux continus, Méthodes Numériques pour l'Acoustique, Traitement du signal, Vibration des ondes, Mécanique des Solides, Éléments finis
Citation

M. ZEMMIT Abderrahim, (2019), "Acoustique appliquée", [national] Msila University

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2018

Backstepping MPPT for photovoltaic system

The studies in photovoltaic system are increasing in the last years, because of a large, secure, broadly available and clean, but the output powers photovoltaic is affected by the change of the irradiation, temperature and load. Therefore, to maximize the efficiency of photovoltaic system it's necessary to track the maximum power point (MPP). In this work backstepping algorithm MPPT has been applied to improve the performance of photovoltaic system by using BP SX150S solar module connected to the DC-DC derived by the Backstepping MPPT, a compared study has been applied between backstepping and P&O algorithm, the comparative study results proposed backstepping algorithms prove the effectiveness of the proposed algorithm compared to P&O MPPT.
Citation

M. ZEMMIT Abderrahim, (2018), "Backstepping MPPT for photovoltaic system", [international] Second International Conference on Electrical Engineering ICEEB’2018, December 2-3 2018, Biskra, Algeria , Biskra, Algeria

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A comparative study on MPPT techniques for photovoltaic systems operating under fast changing environments

this paper present a new maximum power point tracking for photovoltaic system, variable step perturb and observe, in which to ameliorate the disadvantages of classical perturb and observe, a comparative study between the classical and the variable step is carried out in which many point has been proved, considering the change of temperature and irradiation, the results obtained proved the performance of the variable step including response time and oscillation. Keywords-solar energy, maximum power point, boost converter, perturb and observe.
Citation

M. ZEMMIT Abderrahim, boudia assam, , (2018), "A comparative study on MPPT techniques for photovoltaic systems operating under fast changing environments", [international] Conference: Second International Conference on Electrical Engineering ICEEB’2018, December 2-3 2018, Biskra, Algeria , Biskra, Algeria

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Sensorless MRAS-Based Predictive Torque Control for Induction Motor Drive with Load Disturbance Observer

The predictive torque control (PTC) has a similar structure to the direct torque control (DTC). However, instead of using a look-up switching table and hysteresis comparators, this technique evaluates the torque and stator flux in cost function and includes the inverter model in the control design and without need to any modulation bloc. This paper investigates the sensorless predictive torque control. The association of sensorless algorithm can reduce the cost of the drive and improves its reliability. In this work dual observer structures will be incorporated to the main PTC scheme. The model reference adaptive system (MRAS) is proposed as a speed estimator. Then, this paper proposes an enhancement in the external speed control l (13) (PDF) Sensorless MRAS-Based Predictive Torque Control for Induction Motor Drive with Load Disturbance Observer. Available from: https://www.researchgate.net/publication/329360358_Sensorless_MRAS-Based_Predictive_Torque_Control_for_Induction_Motor_Drive_with_Load_Disturbance_Observer [accessed Feb 02 2020].
Citation

M. ZEMMIT Abderrahim, Abdelkarim AMMAR, Tarek AMEID, , (2018), "Sensorless MRAS-Based Predictive Torque Control for Induction Motor Drive with Load Disturbance Observer", [international] Conference: Second International Conference on Electrical Engineering, Biskra 2018, ICEEB18 , Biskra 2018

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المنصة التعليمية Moodle

الملتقى التكويني الأول حول الديداكتيك ومنصات البحث العالمية
Citation

M. ZEMMIT Abderrahim, (2018), "المنصة التعليمية Moodle", [national] الملتقى التكويني الأول حول الديداكتيك ومنصات البحث العالمية , جامعة المسيلة _يوم :06نوفمبر2018

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Théorie des champs Électromagnétiques

Ce cours a pour objectif d'introduire les phénomènes électromagnétiques dans le vide et dans la matière. La première partie se concentre sur l'électrostatique, la magnétostatique ainsi que sur les lois de l'électricité ce qui nous obligera à faire une petite digression du côté des phénomènes lentement variables dans le temps.

La deuxième partie s'intéresse au phénomène d'induction et aux équations de Maxwell pour les régimes variables, dont une conséquence importante est l'existence d'ondes électromagnétiques dans le vide.

Enfin, une dernière partie est consacrée aux équations de propagation des champs et des potentiels électromagnétiques.
Citation

M. ZEMMIT Abderrahim, (2018), "Théorie des champs Électromagnétiques", [national] Msila University

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Direct Torque Control-Fuzzy Logic Controller (DTC-FLC)of Doubly Fed Induction Machine (DFIM)

This paper presents a new advanced Direct Torque Control of doubly fed induction motor using Fuzzy logiccontroller, which the classic integral proportional (IP) controller have been replaced by new fuzzylogic controller (FLC) of speed to overcome the most drawbacks and limitations of classical DTC control, accuracy and the convergence speed under sudden changing torque reference and/or speed reference. The fuzzy logic controllerparameter that optimizethe performances of conventional Direct Torque Control of doubly fed induction motor. The proposed fuzzy logique controller have shown is better than the conventional controller.
Citation

M. ZEMMIT Abderrahim, Said AZZOUZ, assam.boudia@univ-msila.dz, , (2018), "Direct Torque Control-Fuzzy Logic Controller (DTC-FLC)of Doubly Fed Induction Machine (DFIM)", [international] Second International Conference on Electrical Engineering, Biskra, December, 2-3, 2018. , Biskra, Algeria.

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2016

Single-Phase nine-level inverter for photovoltaic application

Electrical power play a very important rule in 21thcentury, but non-conventional sources scale down day by day. Not only that concern for the environmental pollution around the world, so now a day’s photovoltaic (PV) power systems are getting more and more widespread with the increase in the energy demand. This paper proposed a Single-Phase nine level inverter with voltage control method using semi conductor power devices for photovoltaic systems. The proposed inverter system gives better voltage regulation, smooth results and efficiency compared to multi-level inverters. The inverter is capable of producing nine levels of output voltage levels (Vpv, 3Vpv/4,Vpv/2, Vpv/4, 0, -Vpv/4, -Vpv/2, -3Vpv/4, -Vpv).The proposed inverter was verified by using simulation of Matlab / Simulink software.
Citation

M. ZEMMIT Abderrahim, Loukris Abdelhamid, Haddadi Mourad, , (2016), "Single-Phase nine-level inverter for photovoltaic application", [national] Revue des Energies Renouvelables , CDER- Algeria

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Design of Combined Vector Control and Direct Torque Control for Induction Motor Drive with Speed MRAS Observer

The field oriented based vector control (FOC) and the direct torque (DTC) are well-used control strategies in modern AC systems these days. They can create a decoupled flux and torque control and achieve good performance for AC motor drives. However, both of them have a number of limits and drawbacks, such as the dependence of machine parameters of the vector control and the high flux and torque ripples of DTC. This work presents a hybrid control strategy for induction motor bases on combining the principles of the two techniques, in order to benefit from their advantages and limits their disadvantages and gain high performance. Besides, this work aims to design a sliding mode observers for speed/flux as sensorless algorithm to improve the reliability and decrease the cost control system. Different results of this combined strategy will be investigated by numerical simulation using Matlab/Simulink.
Citation

M. ZEMMIT Abderrahim, Abdelkarim Ammar, , (2016), "Design of Combined Vector Control and Direct Torque Control for Induction Motor Drive with Speed MRAS Observer", [international] Conference: The 9th International Conference on Electrical Engineering and First Workshop on Robotics and ControlsAt: Batna, Algeria , Batna, Algeria

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2014

Simulation en 2D du soudage par induction des tubes en Acier

Notre approche est essentiellement basée sur l’étude de modilisation et simulation de soudage par indection electromagnetique a haut frequence des pipes ligne il s’agit d’assembler deux tubes de diamètre quelconque. Nous avons décrivons les modèles mathématiques électromagnétiques et thermiques de notre configuration à souder que nous utilisons et étudier en détaille l’influence des différant paramètres sure la qualité de soudage.
Citation

M. ZEMMIT Abderrahim, BENSAID Samir, , (2014), "Simulation en 2D du soudage par induction des tubes en Acier", [international] La Conférence Internationale sur le Soudage, le CND et l’Industrie des Matériaux et Alliages (IC-WNDT-MI ) , Annaba du 09 au 11 Novembre 2014

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