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    Sizing of PV Pumping System with Optimizing MPPT Algorithm
    (Université M’Hamed Bougara de Boumerdes : Institut de génie electrique et electronique (IGEE), 2024) Benmbarek, Malik; Daif, Mouhaned; Kheldoun, Aissa (Supervisor)
    This report covers a comprehensive study of the sizing, modeling and simulation of a stand-alone solar water pumping system in El Oued, Algeria. The initial part involves selecting a farm located in Hassi Khalifa, El Oued, Algeria, which has an average water consumption of 43m/h. The irrigated site covers 1 hectare (10,000 square meters) of land. Sizing such a system has been carried out using differen ttool ssuc ha sCropwat ,Climwat ,an dPVgis. Sizing has led to the selection of a 2.2 kW submersible pump, 3.19 kW PV array, 3 kW inverter, and a 74m2 Tank of height 3 m. System dynamic modeling is done using MATLAB/Simulink which contains several models of sub-systems such as solar arrays, DC-DC boost converter, two-level inverter, Squirrel cage IM, and centrifugal pump, This dynamic modeling has been developed based on the sizing of the system. To improve further the overall system’s efficienc y,an enhanced P&O MPPT algorithm has been developed. Moreover, a DTC algorithm is used to regulate both the motor’s speed and torque. Various numerical simulations were conducted to illustrate and validate the effectivenes so fthi ssystem .MATLAB/Simulin ksimulation shows that this system can deliver the required energy needed for the farm to satisfy all the requirements.
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    Implementation and analysis of speed control of an induction motor using variable frequency drive
    (Université M'hamed Bougara Boumerdès: Institue de génie electronic et electric, 2024) Hamraoui, Oussama; Kheldoune, Aissa (supervisor)
    This work examines the implementation and analysis of speed control of an induction motor using a Variable Frequency Drive (VFD). The study focuses on optimizing motor performance through an open loop configuration within an automation system. The implementation was carried out using the Siemens G120 VFD, which receives commands from an S1200 Siemens PLC. The primary goal is to achieve precise speed control of the induction motor, enhancing efficiency and stability in industrial applications. The results provide valuable guidance on the practical usage of VFDs in industrial automation and recommendations for optimizing motor performance based on unique operational needs.
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    Speed control of induction motor using adaptive fuzzy_PID controller based on direct torque control
    (Université M’Hamed Bougara de Boumerdes : Institut de génie electrique et electronique (IGEE), 2024) Messaoudi, Abdenacer; Boushaki, R. (Supervisor); Belmadani, H.
    This study investigates the simulation of advanced control strategies for three-phase induction motors, focusing on Direct Torque Control (DTC) integrated by Fuzzy Logic Controllers (FLC) and Adaptive Fuzzy PID Controllers (AFPID). Induction motors, known for their durability, simplicity, and cost-effectiveness, are widely used in industrial applications. Precise control of motor speed and torque is critical for optimizing performance efficiency. The work begins with an exploration of the construction and operating principles of induction motors, emphasizing their electromagnetic induction mechanism. Various control techniques, including DTC, are examined for their ability to enhance motor performance. DTC is highlighted for its superior dynamic response and transient performance, achieved by directly controlling motor torque and flux without the need for complex mathematical models. The integration of FLC and AFPID with DTC is explored through theoretical analysis and simulation studies. FLCs offer robust control in uncertain and nonlinear systems, modeling human reasoning to adapt the changes conditions and disturbances. The combination of these advanced controllers with DTC is shown to improve motor control, providing fast and precise adjustments in industrial applications. The findings demonstrate the potential of these advanced control strategies to revolutionize motor control systems, leading to significant improvements in efficiency and reliability.
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    Model predictive control for FSTP inverter-fed induction motor
    (Université M’Hamed BOUGARA de Boumerdes : Institut de génie electrique et electronique (IGEE), 2023) Hammadi, Ayat Errahmane; Chalah, Samira (supervisor)
    The rapid growth of electric motor-driven systems has led to an increasing demand for high-performance control strategies that provide efficient and precise operation. Model Predictive Control (MPC) and Direct Torque Control (DTC) have gained significant attention due to their ability to provide fast and accurate control in various industrial applications. The primary objective of this work is to analyze and implement Model Predictive Torque Control (MPTC) for a three-phase induction machine powered by a Four- Switch Three-Phase (FSTP) inverter. The investigation begins with a review of the state-of-the-art on the FSTP inverter and predictive control, highlighting various applications of predictive control. Subsequently, Model Predictive Current Control (MPCC) and MPTC are employed to control an RL-load and an induction machine, respectively, both driven by the FSTP inverter. This work presents a comparative analysis between MPTC and Direct Torque Control (DTC) methods. Simulation of these techniques were then carried out using MATLAB/Simulink software and the obtained results analyzed and discussed to confirm the validity of the proposed techniques.
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    Identification and control of asynchronous motor using meta-heuristic algorithms
    (2023) Ghernaout, Rayane; Kheldoun, Aissa (Supervisor); Belmadani, Hamza
    The present study is centered on the examination, regulation, and enhancement of induction motors (IMs) through the application of meta-heuristic algorithms. The aim of this study is to optimize the performance and efficiency of induction motors (IMs) in various applications. The study begins with the formulation of a mathe- matical model for induction motors (IMs). Subsequently, meta-heuristic algorithms, namely EO, RSBA, and JAYA, are employed to determine the parameters of the IM.The estimation of parameters is conducted by utilizing the inputs of measured stator voltages, currents, and rotor speed. This study focuses on the modeling of indirect rotor flux-oriented control(IRFOC )and the utilization of the resulting IM param- eters to identify the motor. Control gains are then optimized through the imple- mentation of RSBA and JAYA algorithms. The findings of the simulation indicate that the system’s performance has been enhanced in comparison to conventional manual tuning techniques. The project acknowledges the difficulties involved in the optimization process and emphasizes the significance of meticulous parameterse- lection. In summary, this study serves as a valuable contribution to the progression of IM technology, highlighting its potential to enhance performance and efficiency in industrial settings.
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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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    Design and implementation of direct torque control of induction motor drive
    (2018) Rouidjali, Imene; Rezki, Abdelaziz; Metidji, Brahim (Supervisor)
    The direct torque control was proposed as an alternative strategy to the field-oriented control for AC machines drive. This method consists on the direct determination of inverter switching states and offers a simpler and robust scheme and less sensitivity to machine parameters as it depends only on the stator resistance. In this work, the direct torque is presented for induction motor drive fed by two-level voltage source inverter. The control algorithm has been investigated through simulation and experimental tests. The simulation part was carried out using MATLAB/Simulink software, the obtained results shows the effectiveness of this method. Moreover, the generic