Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Advances in Applied Sciences Indonesian Journal of Electrical Engineering and Computer Science
Maged N. F. Nashed
Electronics Research Institute
Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Materials Science & Nanotechnology Mathematics Physics

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Hysteresis Current Control of Switched Reluctance Motor in Aircraft Applications Maged N. F. Nashed; Samia M. Mahmoud; Mohsen Z. El-Sherif; Emad S. Abdel-Aliem
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 4, No 3: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (6767.475 KB)

Abstract

The switched reluctance motor (SRM) drives have been widely used in aircraft applications due to the motor advantages like high speed operation, simple construction, no windings on rotor. But high torque ripples and acoustic noise are main disadvantages. The current hysteresis chopping control is one of the important control methods for SRM drives. These disadvantages can be limited using the hysteresis or chopping current control. This control strategy makes the torque of SRM maintained within a set of hysteresis bands by applying suitable source voltage. This paper introduces two hysteresis control modes; hard chopping and soft chopping mode. The SRM drive system is modeled in Simulink model using MATLAB/SIMULINK software package.DOI: http://dx.doi.org/10.11591/ijpeds.v4i3.6210
Comparative study of the most efficient maximum power point tracking techniques for a photovoltaic system I. M. Abdel-Qawee; H. G. Hamed; Maged N. F. Nashed; Ayman Y. Yousef; Khaled M. Hasaneen
International Journal of Advances in Applied Sciences Vol 8, No 1: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1655.499 KB) | DOI: 10.11591/ijaas.v8.i1.pp73-82

Abstract

In Photovoltaic (PV) systems, maximum power point tracking (MPPT) is an important challenge which faces this system. In this paper, a comparative study between two high efficient MPPT control techniques is presented. These techniques are based on the incremental conductance (IC) method. The first technique is based on optimized PI-controller gains and the other is based on Fuzzy Logic Control (FLC). The comparison between the algorithms is investigated under different environmental conditions. The comparison criteria which are taken into consideration are: the percentage tracking factor (%TF), the tracking time, the ripple voltage in the steady-state, the dynamic response, and the complexity of implementation.
Determination of Unknown Parameters of Photovoltaic Module Using Genetic Algorithm I. M. Abdelqawee; Ayman Y. Yousef; Khaled M. Hasaneen; H. G. Hamed; Maged N. F. Nashed
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 2: November 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i2.pp271-278

Abstract

 In this paper, the unknown parameters of the photovoltaic (PV) module are determined using Genetic Algorithm (GA) method. This algorithm based on minimizing the absolute difference between the maximum power obtained from module datasheet and the maximum power obtained from the mathematical model of the PV module, at different operating conditions. This method does not need to initial values, so these parameters of the PV module are easily obtained with high accuracy. To validate the proposed method, the results obtained from it are compared with the experimental results obtained from the PV module datasheet for different operating conditions. The results obtained from the proposed model are found to be very close compared to the results given in the datasheet of the PV module.
Co-Authors Ayman Y. Yousef Emad S. Abdel-Aliem H. G. Hamed I. M. Abdel-Qawee I. M. Abdelqawee Khaled M. Hasaneen Mohsen Z. El-Sherif Samia M. Mahmoud