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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Journal of Robotics and Control (JRC) International Journal of Robotics and Control Systems
Moutchou, Mohamed
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Aerospace Engineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Mechanical Engineering

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Synchronous Reluctance Motor Performance Improvement Using MTPA Control Strategy and Five-Level Inverter Topology Zahraoui, Yassine; Moutchou, Mohamed; Tayane, Souad; Fahassa, Chaymae; Elbadaoui, Sara; Ma'arif, Alfian
Journal of Robotics and Control (JRC) Vol 3, No 5 (2022): September
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v3i5.15326

Abstract

An improved vector control method is presented in this study to enhance synchronous reluctance motor (SynRM) performance. The maximum torque per ampere (MTPA) technique has demonstrated good dynamic properties since the torque control is closely tied to the current control. The selection of the control approach is primarily influenced by how the reference current values will be defined. Additionally, a five-level neutral-point-clamped (NPC) inverter replaces the traditional two-level inverter. Only eight voltage vectors can be produced by a two-level inverter, whereas one hundred twenty-five voltage vectors can be generated by a five-level inverter. The goal is to produce an output voltage vector that closely resembles the reference voltage vector in order to ensure a quick response on the one hand and enhance dynamic performance on the other. An exact comparison of the suggested vector control strategy's properties is made once it has been simulated in MATLAB/Simulink. The acquired findings are satisfactory and high performance is attained in terms of response time, torque ripple reduction, and current waveform improvement.
Induction Motor Performance Improvement using Super Twisting SMC and Twelve Sector DTC Zahraoui, Yassine; Moutchou, Mohamed; Tayane, Souad; Fahassa, Chaymae; Elbadaoui, Sara
International Journal of Robotics and Control Systems Vol 4, No 1 (2024)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v4i1.1090

Abstract

Induction motor (IM) direct torque control (DTC) is prone to a number of weaknesses, including uncertainty, external disturbances, and non-linear dynamics. Hysteresis controllers are used in the inner loops of this control method, whereas traditional proportional-integral (PI) controllers are used in the outer loop. A high-performance torque and speed system is consequently needed to assure a stable and reliable command that can tolerate such unsettled effects. This paper treats the design of a robust sensorless twelve-sector DTC of a three-phase IM. The speed controller is conceived based on high-order super-twisting sliding mode control with integral action (iSTSMC). The goal is to decrease the flux, torque, the current ripples that constitute the major conventional DTC drawbacks. The phase current ripples have been effectively reduced from 76.92% to 45.30% with a difference of 31.62%. A robust adaptive flux and speed observer-based fuzzy logic mechanism are inserted to get rid of the mechanical sensor. Satisfactory results have been got through simulations in MATLAB/Simulink under load disturbance. In comparison to a conventional six-sector DTC, the suggested technique has a higher performance and lower distortion rate.
Sizing optimization of a standalone PV/wind hybrid energy system with battery storage using a genetic algorithm Kouihi, Manal; Moutchou, Mohamed; ElMahjoub, Abdelhafid Ait
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 2: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i2.pp1208-1218

Abstract

Renewable energy sources, such as wind and solar, are clean and widely available, they have significant advantages over conventional power. However, the climate has an inherent influence on their production. Due to growing energy costs and decreasing solar and wind turbine prices, the use of PV/wind hybrid energy systems has grown in popularity. Determining the ideal number of PV panels and wind turbines required is essential to minimize costs and ensure the continuous production of energy to fulfill the intended demand before building a renewable energy generating facility. The goal of this research is to identify the optimal design for a hybrid PV/wind system that includes battery storage for standalone uses. The suggested analysis uses the low power supply probability (LPSP) as a guiding metric and a genetic algorithm (GA) to optimize costs while reliably satisfying load requirements. With this technology, the ideal quantity of PV modules and wind turbines may be precisely determined at the lowest possible cost. The outcomes show that the hybrid systems have undergone effective optimization.
Co-Authors Alfian Ma’arif Elbadaoui, Sara ElMahjoub, Abdelhafid Ait Fahassa, Chaymae Kouihi, Manal Tayane, Souad Zahraoui, Yassine