Saber Mohamed Saleh Salem
Fayoum University

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Estimation of the transformer parameters from nameplate data using turbulent flow of water optimization technique Amir Yassin Hassan; Mokhtar Said; Saber Mohamed Saleh Salem
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 2: February 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i2.pp639-647

Abstract

The mismatch between the transformer and its model leads to deviation of the results during the study of the different abnormal phenomena. This paper presents an optimization technique using transformer nameplate data to minimize the difference in the estimation of the parameters between the model and the actual transformer data. The turbulent flow of water through a narrow path (TFWO) in a circular form technique is used for the optimization of the transformer parameters. The optimization algorithms are used in extracting the parameters of the different rating of transformers, this technique needs an objective function for performing the optimization process. Minimizing the sum of square error (SSE) is the objective function of the optimizer technique. The SSE function includes the summation of the square error for the primary current and secondary current and voltage referring to the primary. The proposed optimization transformer parameters evaluation based on the nameplate data is accurate and fulfilled compared with the other methods.
Direct torque control of non-salient pole AFPMSMs with SVPWM inverter Amir Yassin Hassan; Ahmed Gouda Rohieem; Saber Mohamed Saleh Salem
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp2014-2023

Abstract

Axial flux motors use less material and thus are inherently less expensive. They can also deliver a high-power density, which is four times that of a radial flux motor. That makes studying the control methods for this motor necessary. The purpose of this study is to introduce a new dynamic and steady-state response control technique for axial flux permanent magnet synchronous motors (AFPMSMs). Dynamic equations describe the control characteristics of axial flux permanent magnet motors. The AFPMSM model and the space vector pulse width modulation (SVPWM) inverter were created using MATLAB Simulink. For the AFPMSM motor with an SVPWM inverter, direct torque control (DTC) is provided. The results of the proposed control technique are simulated and analyzed, and it is found to provide good performance. According to the results, the proposed control method reveals advantages in reducing the ripples and pulsating of the torque while enhancing speed dynamic and steady-state response.