Mahmoud Farag Abdel Hamied

Teaching Assistant

Faculty Building


Office Number



Mahmoud Farag received his B.Sc. in 2018, from Electrical power engineering, Fayoum University and Master student in Microelectronics System Design (MSD), Nile University. Giza. Currently, he is a teaching assistant at Nile University. His research interests include PV modeling, fractional-order circuits and control.

Recent Publications

Arithmetic optimization approach for parameters identification of different PV diode models with FOPI-MPPT

The Maximum Power Point Tracker (MPPT) provides the most efficient use of a Photo-voltaic system independent of irradiance or temperature fluctuations. This paper introduces the modeling and control of a photo-voltaic system operating at MPPT using the arithmetic optimization algorithm (AOA). The single and double Photo-voltaic models are investigated. Their optimal unknown parameters are

Circuit Theory and Applications
Software and Communications

Optimal fractional-order PI with DC-DC converter and PV system

This paper presents a design and analysis for the PV system with a DC-DC boost converter controlled by the Fractional Order PI controller (FOPI). The study includes obtaining the optimal parameters for the PV model and the operating parameters for the FOPI controller. The first part's objective function is to search a five-parameter model based on the data-sheet given by commercial PV modules for

Circuit Theory and Applications

Design of fopid controller for a dc motor using approximation techniques

This paper introduces a study of fractional-order PID (FOPID) controller applied to a DC motor. The idea is to control the motor speed using the FOPID and compare it with the conventional PID controller. Two approximation techniques are employed to realize the FOPID, which are Matsuda and Oustaloup, each with order four. Different responses are depicted for various fractional orders. A specific

Circuit Theory and Applications
Mechanical Design

Power tracking controller design for photo-voltaic systems based on particle swarm optimization technique

Solar energy turns into a promising supply of electricity, so structures of Photo-voltaic (PV) regularly use a maximum power point tracking (MPPT) way to deliver the highest probable power to the load continuously. This paper presents the methodology of PI controller tuning of PV employing Particle Swarm Optimization (PSO). The aim is to obtain the maximum power and maintain its value using the PI

Circuit Theory and Applications
Research Tracks
  • PV Modeling
  • Fractional-order Circuits
  • Control Systems
  • Renewable Energy