Power
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Item 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.Item 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.Item 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.Item Fuzzy logic – based hill climbing MPPT for wind driven permanent synchronous generator(2020) Abdellali, Lotfi; Merabet, Oussama; Kheldoun, Aissa (Supervisor)Wind power has become a rapidly growing technology as a kind of renewable energy resources. It plays a more and more important role with the increasing demand on energy every day. Unlike fossil fuel power sources, with the fact that it emits no air pollution or greenhouse gas, also its ability to generate high amount of power with no fuel consumption, therefore it is becoming much more reliable and promising to be number one source for clean energy in the very near future. Research of Wind Energy Conversion Systems (WECS) has gained great interest in the recent years to improve its behavior and response. One of the most important aspects is the Maximum Power Point Tracking (MPPT). The latter allows extracting the maximum power at the different wind speeds and therefore increasing the efficiency of the Variable-Speed Wind Turbine system when the wind speed is below the rated speed. Fuzzy sets are proposed in the present work to design the Maximum Power Point Controller. Simulation using Matlab /Simulink have shown that the investigated controller is fast and accurate.