Power

Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/3079

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Author: search.filters.author.Ammar, Abdelkarim (Supervisor)End date: 2024

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Now showing 1 - 10 of 17
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    Open switch fault detection and localization of a three-phase permanent magnet synchronous machine using fuzzy logic
    (Université M’Hamed BOUGARA de Boumerdes : Institut de génie electrique et electronique (IGEE), 2023) Khaled, Mohamed Amine; Dechir, Oussama; Ammar, Abdelkarim (Supervisor)
    Power electronic systems are considered as one of the most critical components in many applications, such as nuclear reactors. In such cases, the system must be extremely reliable like Permanent Magnet Synchronous Motors (PMSMs). The report begins with an overview of PMSM types and variable frequency drives followed by proofreader explanation of faults that may occur in this type of motors .The modeling of PMSM is the work's core contribution. Starting first with a sufficient investigation into the steady-state and dynamic properties of PMSM in both stationary and rotating frames, followed by a discussion of switching states in a three-phase inverter along with Space vector pulse width modulation, Furthermore, in order to attain higher dynamic performance, a more advanced control method known as field oriented control (FOC) must be utilized to regulate the PM motor. At the last part of the report, fault diagnostic and detection of our motor is controlled using fuzzy logic approach, and promising results were obtained in simulation on MATLAB/Simulink.
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    Fault tolerant control of a five-phase permanent magnet synchronous machine using fuzzy logic approach
    (Université M’Hamed BOUGARA de Boumerdes : Institut de génie electrique et electronique (IGEE), 2023) Bellakhal, Mohamed; Hamza, Tarek; Ammar, Abdelkarim (Supervisor)
    The core contribution of this work lies in the exploration of fault tolerant control strategies for multiphase VFDs. The thesis presents a detailed analysis of various fault types that can occur in synchronous motors, emphasizing the need for effective fault detection and tolerance mechanisms. It introduces passive fault tolerant control, with an emphasis on fuzzy algorithms. Furthermore, this research investigates the application of direct torque control (DTC) and DTC with space vector pulse width modulation (DTC-SPWM) strategies for fault detection and tolerance in multiphase VFDs. The performance of these strategies is evaluated through simulation studies, considering different operating conditions such as motor speeds and load torques. The results highlight the robustness and effectiveness of the proposed fault detection algorithms, showcasing improved performance in terms of speed and torque tracking. Based on the findings ,th ethesi ssuggest sfutur eresearc hdirections .Thes einclude the hardware implementation of the fault detection methods with DTC and DTC-SPWM strategies, the extension of fault detection capabilities to detect multiple open switch and open phase faults, and the implementation of active fault tolerance mechanisms using space vector modulation.
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    Improved direct torque control of switched reluctance motor 8/6 using high order sliding mode
    (Université M’Hamed BOUGARA de Boumerdes : Institut de génie electrique et electronique (IGEE), 2023) Guediri, Hicham; Boukdira, Mohammed Amin; Ammar, Abdelkarim (Supervisor)
    This research focuses on implementing a robust direct torque control (DTC) system for a Switched Reluctance Motor (SRM) by employing nonlinear approaches such as sliding mode control, Twisting controller (TC), and Super Twisting controller (STC). The initial phase involves the modeling of the SRM and its power supply, predominantly comprising a voltage inverter. Subsequently, the DTC technique is introduced and applied to the SRM. In the subsequent phase, two distinct control strategies, namely classical DTC and sliding mode DTC for SRM, are presented and discussed. Various numerical simulations are conducted to illustrate and explicate the effectivenes so fthes econtro ltechniques .I nth efin alphase, Twisting and Super Twisting regulators are proposed with the intention of improving the chattering problem encountered in SRM control. The simulation results are subsequently presented to substantiate this assertion.
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    Fuzzy logic based energy management for standalone hybrid renewable energy system
    (2023) Zemoura, Mohamed Taha; Kessita, Yaakoub; Ammar, Abdelkarim (Supervisor)
    The increasing demand for sustainable and reliable energy sources has led to the emergence of hybrid renewable energy systems as viable alternatives in standalone applications. This report presents a comprehensive study on the design, modeling, control, and simulation of a hybrid renewable energy system consisting of a pho-tovoltaic (PV) array integrated with a battery storage system and a backup diesel engine. A detailed matematical model is developed to capture the dynamic behav-ior of the PV array, battery storage system, and diesel engine, taking into account factors such as solar irradiance, battery state of charge, load demand, and diesel fuel consumption. The proposed control strategy utilizes a combination of power scheduling, load forecasting, and state-of-charge management techniques to ensure optimal operation and seamless transition between PV, battery, and diesel power sources, using Fuzzy Logic. The control algorithm is implemented and validated through simulation studies using advanced software tools, providing a realistic rep-resentation of the hybrid system’s performance under various operating conditions and load profiles.
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    Maximum power point tracking of single stage solar water pumping system under partial shading condition
    (2023) Sabeur, Anis; Amraoui, Oussama; Ammar, Abdelkarim (Supervisor)
    This work presents a comprehensive investigation of a single-stage battery-less stand-alone solar water pumping system, utilizing an induction motor for pump operation. A double function voltage source inverter (VSI) controlled by a switching table based on direct torque control (DTC), and employing Maximum Power Point Tracking (MPPT) techniques to optimize system performance. The primary objective is to evaluate the system's behavior and efficiency under normal and shaded conditions by implementing various MPPT algorithms, including Perturb and Observe (P&O), Particle Swarm Optimization (PSO), and Grey Wolf Optimization (GWO). The research begins with an in-depth analysis of the system components, including the solar panels, inverter, induction motor, and MPPT algorithms. Theoretical aspects of the induction motor, VSI, DTC, and MPPT techniques are studied to establish a solid understanding of their interactions within the solar water pumping system. A test setup is implemented, simulating real-world scenarios to evaluate the system's response and efficiency. Data is collected, and comparative analysis are performed to determine the effectiveness of each MPPT algorithm in terms of tracking the maximum power point, optimizing power output under partial shading condition.
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    Power quality disturbances classification using convolutional neural networks
    (2023) Bellil, Sara; Ammar, Abdelkarim (Supervisor); Ykhlef, Fayçal
    This thesis focuses on the application of 1D Convolutional Neural Networks (CNN) for the classification of power quality disturbances. As the demand for electricity continues to rise, ensuring the reliability and efficiency of power systems has become paramount. Power quality disturbances pose a significant challenge in maintaining system stability and integrity. The aim of this research is to explore the potential of 1D CNN in accurately classifying various types of power quality disturbances, thereby contributing to the enhancement of power system reliability. This thesis provides an overview of power quality disturbances, including an exploration of the state-of-the-art research. It delves into the field of pattern recognition, specifically focusing on the detailed architecture of 1D CNN. The proposed 1D CNN model for power quality disturbance classification is presented in detail. Three different datasets were used in this work which are noiseless dataset, dataset with 30dB noise and dataset with random noise. The accuracy results were 100%, 97.18% and 93% respectively. The 1D CNN model proposed showed effective classification ability even in the case of noise, and also a good generalization for it to be used as prediction model.
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    Control and energy management of hybrid electric vehicles traction chain based on BLDC motor
    (2023) Rahni, Wissem; Bouchanane, Ikram; Ammar, Abdelkarim (Supervisor)
    This work focuses on the development of energy management strategy for hybrid electric vehicles (HEVs) using battery and super-capacitors based on fuzzy logic control . The work is divided into two parts. In the firs tpart , an energy management strategy is developed for a hybrid energy storage system (HESS) consisting of batteries and super-capacitors. Fuzzy logic is utilized to intelligently distribute and control power, taking into account factors such as state of charge regulation and degradation of on-board energy sources. This approach ensures optimal utilization of available energy under different circumstances. The second part of the work focuses on motor control in HEVs. Takagi-Suegeno fuzzy logic control is employed to regulate the vehicle’s speed, allowing for adaptive and efficient control in various driving conditions. Simulation tests using MATLAB/Simulink software have been performed in order to validate the proposed techniques. The obtained results will be analyzed and discussed. By integrating fuzzy logic techniques into energy management and motor control, this work contributes to the development of sustainable and efficient transportation systems. The outcomes aim to reduce emissions, improve fuel efficiency, and promote agreener future for the automotive industry.
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    Open-switch fauli tolerant direct torque contol for voltage source inverter fed inducion motor drive system
    (2022) Boubou, Fouad Eddine; Nedjai, Abd Elouahed; Ammar, Abdelkarim (Supervisor)
    In many applications, such as nuclear reactors, aerospace, military applications, and life-saving machines, power electronic systems are considered one of the most important components. In such applications, the system must be highly reliable. All members of the drives community and marketplace are interested in the reliability of adjustable speed result, parallel redundancy is frequently used in these systems, albeit at a high cost. The electrical machines are supplied by AC-to-AC converters with an intermediate DC-link in many industrial drive applications. Different types of failures may occur at different levels of the AC drive system, such as the input rectifier, power inverter stage, which is of our interest in this thesis, or control sub-system. This work focuses on fault tolerant induction motor drive control in the event of VSI open-switch/leg failure. This system detects and isolates the fault, and then ensures the system's operation under the new conditions. This was accomplished using two different solutions:The first one was the redundancy-leg topology, which maintains the same control drive (Direct Torque Control) using a six-switch three-phase inverter (SSTPI). The second is a new switching technique for Direct Torque Control (DTC). This system modifies the DTC switching table using available stator voltage vectors in two phase mode with Four Switch Three Phase Inverter (FSTPI) topology to track the stator flux reference and directly control the torque and maintain the performance of the induction motor as in the Six Switch Three Phase Inverter (SSTPI) mode.
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    Control of electric vehicle traction chain based on dual induction motor drine using nine-switch inverter
    (Université M’Hamed BOUGARA de Boumerdes : Institut de génie electrique et electronique (IGEE), 2022) Roubache, Karima; Bouarada, Meriem; Ammar, Abdelkarim (Supervisor)
    Several research works have been pushed by industry to develop electric vehicles. This study aims at optimizing the cost and energy of the electric powertrain that is based on two in- duction motors supplied by two independent inverters in the conventional case, but this solution is expensive in terms of size and number of power switches. Thanks to its special topology with reduced number of semiconductor switches, the nine switch inverter has been suggested as a substitution to two conventional two level inverters. On the other hand, thanks to the robustness of direct torque control scheme as compared to other vector control methods, (DTC) proves to be a well suited control scheme for electric vehicle applications. Nowadays, the brilliant tech- nology in automotive industry towards regenerative braking is improving, thus bidirectional DC-DC converters are used for capturing the kinetic energy of motor and charging the battery during regenerative mode. In this context, a control of an electric vehicle traction chain based on dual induction motor drive using nine switch inverter is investigated in this report, to study the independency con- trol of nine switch inverter powered motors. Furthermore, the effectiveness of the developed controllers in separating between the flu xan dtorqu econtro lhav ebee nchecked .Likewise ,the regenerative braking has been studied to promote the efficienc yan drealizatio no fenerg ysaving in the electric vehicles. Simulation of these techniques were then carried out using MATLAB/Simulink software and the obtained results analyzed and discussed to confir mth evalidit yo fth epropose dtechniques.
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    Grid connected solar water-pumping system based on sensorless PMSM drive
    (2022) Teniba, Abdelmoumin; Nouicer, Sohaib; Ammar, Abdelkarim (Supervisor)
    This thesis deals with an effective power transfer scheme between the solar photovoltaic (PV) array and single or three-phase grid, feeding permanent-magnet synchronous motor (PMSM) drive applied to a water-pumping system (WPS). This system enables a consumer to operate the water pump at its full capacity for 24 hours regardless of the climatic condition and to feed a single or three-phase utility grid when water pumping is not required. The full utilization of a PV array and motor pump is made possible, in addition to enhancing the reliability of the pumping system. A voltage source converter (VSC) with a unit vector template generation technique accomplishes a bidirectional power flow control between the grid and the dc bus of the voltage source inverter (VSI), which feeds a (PMSM) motor. A sensorless MRAS-based estimator with field-oriented control (FOC) is used to drive the PMSM coupled to the water pump. Under variable isolation, an intermediate stage boost converter is used for extracting optimum power from a solar PV array. The duty ratio for the maximum power point (MPP) operation is generated using Perturb and Observe (P&O) technique. The utility single-phase grid in conjunction with a PV array fed PMSM coupled water pump ensures bidirectional power flow control based on the unit vector template (UVT) technique, however, in three-phase utility grid a voltage-oriented control (VOC) is used to manage the power flow in the system. The Fast Fourier Transform (FFT) analysis is done on the grid current to check that the criteria imposed by the IEEE-519 standard are met, and total harmonic distortion is within the allowed range.