Browsing by Author "Ammar, Abdelkarim (Supervisor)"

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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.
Control and power quality improvement of three-phase PWM-Rectifier
(2020) Djabali, Sarah; Ait Hamou Ali, Melissa; Ammar, Abdelkarim (Supervisor)
This thesis presents performance enhancement of PWM-rectifiers. Several control strategies have been proposed for the PWM-rectifier, such as voltage-oriented control (VOC), direct power control (DPC) and their combination: DPC with space vector modulation (DPC-SVM). Moreover, various virtual flux estimation techniques have been presented as a sensorless control algorithm in order to rise system reliability by decreasing the number of sensors and improving line-voltage estimation accuracy. Finally, a recent control strategy based on model predictive control has been introduced; this strategy reduces the complexity of the control circuit. All presented techniques have been investigated through simulation using MATLAB/Simulink software. The simulation results validate the presented control strategies. Sensorless predictive control features excellent PWM-rectifier performance as well as high robustness to network distortions.
Control and simulation of an electric vehicle's traction chain based on interior permanent magnet synchronous motor IPMS
(2021) Mokrani, Asma; Oussad, Linda; Ammar, Abdelkarim (Supervisor)
In this work, the concepts of electric vehicles EVs and their traction system is introduced. First by looking to their history, types and different motors used for EVs. Then to go deeply in EV's powertrain, a system main component's modelling (motor, inverter, battery) must be done, where the IPMSM which is the most used motor in EVs applications was chosen. For the inverter , pulse width modulation PWM was first modelled and simulated then because of harmonics problems it was replaced by SVPWM. In a complete agreement the Lithium-ion batteries are the EVs most used battery and this because of their small size, besides many other advantages. Now the next step is to control the modelled traction system for this purpose Indirect Field Oriented control IFOC method was used and since in every control technique there is always a primary control objective combined with a secondary combine objective, the main purpose was to control the angular speed of the motor, then the second objective set is to regulate the flow of current hence, MTPA was integrated to the control system. In order to implement a more robust , nonlinear and chattering free control method , IFOC was replace by a Super Twisting Sliding Mode Control STSMC . As a final improvement to the system a DC-DC converter was added
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.
Current sensor fault tolerant control of permanent magnet syschronous machine
(2021) Haouas, Abderaouf; Ghoumrassi, Mohamed Amine; Ammar, Abdelkarim (Supervisor)
To ensure the safety operation and service continuity of control systems, a control technique appeared called Fault-Tolerant Control (FTC). It enables the detection and isolation of faults, as well as the reconfiguration of the control system, to ensure continuity of service and to protect the healthy components from the effects of failing elements. Certainly, several works have been carried out on this subject in different fields of application, among them: the current sensors faults presented in the AC electric drives based on motors like Permanent Magnet Synchronous Motors (PMSMs). These kind of motors are widely used in the industry for variable speed applications due to their high performance reliability and power density. However, in order to achieve fault-tolerant control of current sensors faults , it is necessary to ensure the correct compromise between the detection of faulty sensors and the reconstruction of the currents. In this context, many methods have been proposed for the detection or estimation of three-phase stator currents. Apart from fault detection, current estimation is frequently based either on several cascaded observers, a current sensor and a voltage sensor in the converter DC bus, or an observer and a healthy line current sensor. In this work, the estimation of three-phase stator currents is approached by proposing a method based only on a single current observer, which ensures the estimation and correction of the three stator currents even in case of failure of all current sensors (Current sensorless). This method was then combined with a conventional fault detection and isolation circuit (FDI) and field oriented control (FOC), where the assembly is an active fault-tolerant control for current sensors. Another fault tolerant control method against current sensor faults based on a speed robust controller is named passive fault tolerant control (PFTC). Both methods proposed in this work were applied on an SPMSM. Promising results were obtained in simulation on Matlab/Simulink.
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.
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.
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.
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.
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.
Maximum power point tracking of solar pumping system based on BLDC motor under partial shading condition
(2021) Belguellaoui, Moufida; Hamraoui, Kahina; Ammar, Abdelkarim (Supervisor)
This thesis is part of the research work dedicated for exploitation of solar photovoltaic energy. Due to the increasing energy demands, the use of photovoltaic energy has increased significantly in the worldwide, especially in remote and isolation regions. Off-grid photovoltaic systems, particularly water pumping system, is becoming more widespread. The use of photovoltaic energy as an energy source for water pumping is considered as one of the most promising areas of the photovoltaic applications. The photovoltaic pumping systems are basically operated in two ways, with or without battery bank. The study presented in this thesis focuses on the improvement of photovoltaic power extracting for a battery-less pumping system. In this context, many researchers are committed to invent the algorithms for extracting the maximum energy from a photovoltaic array. It is the principle named maximum power point tracking (MPPT), which is the main object of our research. In the first, an MPPT strategy based on the cuckoo swarm optimization technique has been developed to improve the performance of the perturb and observe (P&O) algorithm under sudden irradiance changes and partial shading condition. Afterwards, a high-performance control scheme has been developed for a photovoltaic pumping system based on the brushless DC motor, in order to maximize the delivered power by the photovoltaic array, to maintain the speed of the motor and to regulate the DC-link voltage. The control scheme is based on hysteresis control. In addition, this scheme has been confirmed through simulation performed with MATLAB/Simulink.
Modeling and control of VSC-based high voltag direct current transmission system
(2021) Meflah, Abderrahim Aimane; Sahbi, Hicham Abderrahim; Ammar, Abdelkarim (Supervisor)
VSC-Based High Voltage Direct Current (VSC-HVDC) systems have the ability to control rapidly the transmitted active power and independently exchange reactive power with transmissions systems. The present work investigates the modeling and control of a high-voltage direct current (HVDC) transmission system based on three-level NPC converters. A feed-forward current control strategy using PI controllers has been performed in order to achieve a decoupled indirect active and reactive power control. By using this control strategy, not only the powers can be controlled independently but also the dynamic response time can be shortened. Furthermore, PI controllers are implemented for out loops control. In this work, Modeling and Simulation studies of a 3MW/±50kV back-to-back VSC-HVDC are presented. Different tests have been performed to confirm the satisfactory performance of the proposed system under active and reactive power variations and DC pole-to-pole Disturbances.
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.
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.
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.
PV solar system design and installation for agriculture application: a case study of a poultry farm in douar frikat Ain Oulmene Setif, Algeria
(2020) Djoudi, Abdelfatah; Ammar, Abdelkarim (Supervisor)
This project presents different technical approaches for energy conservation in the egg production farms. The main approach was first to evaluate the quantitative energy requirements through held interviews, then using Simulink and DIALux, series of simulations and calculations were conducted in order to seek for the most efficient light bulb and how many of them to be installed. Furthermore, an application named the Light Cost Calculator using MATLAB app-designer were developed to estimate the amount of saved money in case of using the suggested light bulb over the actual installed ones. It was found that installing thirty-five 5 watts, 470 lumens classic LED bulbs is much more efficient and super economical compared to the actual 40 watts incandescent bulbs. Afterwards, the intension was to seek for more energy conservation options, so knowing that the cooling and ventilation system represents 25 percent from the overall energy usage, an application called the Fan Selector using app-designer were developed to seek for more efficient electric fans. The possibility of using BLDC fans were also investigated. The obtained feedback from the Fan Selector application pointed out that using four BLDC fans is at least twice efficient than using normal AC fans in a farm of 10000 hens with 1.5Kg each, in average. The application also revealed that a considerable amount of money will be saved when using these BLDC fans. The last phase was the integration of photovoltaic solar system in the egg production farm. The proposed system is a standalone 12 kW peak system. It is equipped with battery banks of 1500 Ah, eight strings of six modules connected in series in conjunction with two three phase string inverters. This thesis aims to combine all the previous strategies staring from replacing the traditional incandescent bulbs, seeking for the most electric fans and eventually investing in solar energy to minimize the electricity usage and therefore maximize the profits.
A single phase active power factor correction using interleaved boost converter
(2021) Baaziz, Adel; Elahcene, Bilal; Ammar, Abdelkarim (Supervisor)
DC power supplies are extensively used inside most of electrical and electronic appliances such as in computers, televisions, audio sets and others. And the electrical energy available in the utility grid is not suitable for direct use. So in particular, applications requiring DC source must involve an interface device between the AC power line and the load requiring the DC voltage. Conventional AC/DC conversion involves diode rectifiers with large capacitor to reduce DC voltage ripple. The filter capacitor reduces the ripple present in the output voltage but draws non sinusoidal line current which reduces the power factor. Therefore, power factor correction (PFC) techniques are gaining increasing attention. This project introduces one of the most popular topologies for active PFC which use a boost converter to draw a continuous input current. This input current can be manipulated by average current mode control technique. But there is ripple in the input current due to inductor of boost converter, this can be minimized by using two phase interleaved boost converter. This project applied the average current mode technique to control two channels interleaved boost converter in continuous conduction mode using PI controller. The simulation results show that the applied topology provides high power factor and low THD.