Browsing by Author "Mehedi, Faycal"

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    Analysis and Experimental Implementation of SHEPWM based on Newton-Raphson Algorithm on Three-Phase Inverter using Dspace 1104
    (Institute of Electrical and Electronics Engineers Inc, 2024) Djafer, Lemya; Taleb, Rachid; Toubal Maamar, Alla Eddine; Mehedi, Faycal; Mostefaoui, Seyyid Ahmed; Rekmouche, Hafidha
    This paper discusses the analysis, simulation and experimental investigation of selective harmonics elimination with pulse width modulation using Newton-Raphson algorithm for three phase inverter. The purpose of using this modulation strategy is to increase the life span of the switching elements and improve the inverter output voltage. This study offers a general analytical description of the harmonic problem and explains the application of a Newton-Raphson algorithm for eliminating some target harmonics step by step. The accuracy of the method has been confirmed using MATLAB environment with a digital signal processor that goes by the name of Dspace 1104. The experimental results matches the simulation ones perfectly, thereby strengthening the previous studies about the effectiveness of the selective harmonics elimination based on Newton-Raphson algorithm.
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    Implementation of SHEPWM Based on Particle Swarm Optimization in a Two-Level Three-phase Inverter Using dSPACE DS1104 Controller Board
    (Institute of Electrical and Electronics Engineers Inc., 2024) Djafer, Lemya; Taleb, Rachid; Toubal Maamar, Alla Eddine; Mehedi, Faycal
    This research study provides the analysis, simulation, and experimental investigation of selective harmonic elimination with pulse width modulation for three phase inverter using the particle swarm optimization method. By employing this modulation technique, the inverter output voltage will be improved while the switching components' lifespan will be increased. The paper presents the harmonic issue in an analytical manner. The dSPACE DS1104 controller board, a digital signal processor, has been used with the MATLAB environment to verify the method's correctness. The experimental results closely approximate the simulation findings, supporting earlier studies about the efficiency of the particle swarm optimization based selective harmonic elimination.