Predictive Control of a Dual Powered Asynchronous Motor - EL MAHFOUD, Mohammed;Bossoufi, Badre;EL OUANJLI, Najib
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The objective of this work is to contribute to the development of advanced control strategies for a Dual Power Asynchronous motor. Initially, a direct torque control (DTC) strategy is adopted for an efficient and robust control. However, the results obtained present flux and torque ripples. Therefore, control improvements (DTC) are proposed to ensure a robust control against ripples and the frequency of switching variables. Among the proposed improvements, the DTC control of the MADA fed by three-level inverters shows a good result in terms of ripple reduction, but this solution remains…mehr

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Produktbeschreibung
The objective of this work is to contribute to the development of advanced control strategies for a Dual Power Asynchronous motor. Initially, a direct torque control (DTC) strategy is adopted for an efficient and robust control. However, the results obtained present flux and torque ripples. Therefore, control improvements (DTC) are proposed to ensure a robust control against ripples and the frequency of switching variables. Among the proposed improvements, the DTC control of the MADA fed by three-level inverters shows a good result in terms of ripple reduction, but this solution remains unworkable because of the high price of these inverters. In a second step and to improve the performance of the DTC, especially the control of the switching frequency and the minimization of the torque and flux ripples, the model-based prediction DTC control is also developed. Finally, an experimental validation of our simulation results is performed using the dSPACE 1104-based control prototypingkit.
Autorenporträt
Mohammed ELMAHFOUD, geboren 1990 in Fès (Marokko), promovierte 2022 an der Universität USMBA-Fès im Fach Elektrotechnik. Er ist derzeit Professor für Physikalische Materie und Forscher am Labor für Ingenieurwesen, Modellierung und Systemanalyse. Seine Aktivitäten beziehen sich auf die Steuerung von elektrischen Maschinen und erneuerbaren Energien.