Reham H. Mohammed

Work place: Electrical Department, Faculty of Engineering, Suez Canal University, 41522, Egypt



Research Interests: Neural Networks, Intelligent Control Systems, Electrical Engineering


Reham H. Mohammed received her BSc in 2005 from Mansoura University, MSc in 2010 Mansoura University, and PhD in 2016 from Suez Canal University. She worked as lecturer at Department of Electrical Engineering, University of Suez Canal, Egypt. She has more than 6 scientific research papers published in prestigious international journals. Reham does research in Electrical Engineering, Control Systems Engineering and Artificial Neural Network. Their most recent publication is 'Comparative Study Methods of Trajectory Tracking Control for Robot Manipulator'.

Author Articles
Load Test of Induction Motors Based on PWM Technique using Genetic Algorithm

By Basem E. Elnaghi Reham H. Mohammed Sobhy S. Dessouky Mariam K. Shehata

DOI:, Pub. Date: 8 Mar. 2019

Genetic algorithms(GA) is optimization technique used in the equivalent load test of the induction motors to select the values of the factors(modulation indicators) that effect on the performance properties in terms of the values of the currents and the total loss within the machine. One way to choose these parameters is by trial and error while this paper based on GA method to improve the parameters selection. A model is designed to simulate the loading of the induction motor and obtain its own results by the MATLAB program 2017a. There are different methods used to achieve this task such as PWM inverter with different modulation techniques, Constant Voltage Variable Frequency (CVVF) method, Variable Voltage Constant Frequency (VVCF) method and Variable Voltage Variable Frequency (VVVF) method.

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Quadrotor Control Using Advanced Control Techniques

By Reham H. Mohammed

DOI:, Pub. Date: 8 Feb. 2019

Control of the quadrotor has been noted for its difficulty as the result of the so-called high maneuverability, exceedingly nonlinear system and strongly coupled multivariable. This work deals with the simulation depend on proposed controllers of a quadrotor that can overcome this difficulty. The quadrotor mathematical model is derived using a Newton-Euler formulation. Three types of controllers are investigated to control and stabilization the position and attitude of quadrotor using feedback linearization. The first controller is Fuzzy-PID, it is considered as a reference benchmark to compare its results with the others two controllers which are PID tuned using GA and ANFIS. The performance of the designed control structure is evaluated through the response and minimizing the error of the position and attitude. Simulation results, shows that position and attitude control using Fuzzy-PID has fast response and better steady state error and RMS error than ANFIS and PID tuned using GA. The all controllers are tested by simulation under the same conditions using SIMULINK under MATLAB2015a.

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Trajectory Tracking Control and Robustness Analysis of a Robotic Manipulator using Advanced Control Techniques

By Reham H. Mohammed Basem E. Elnaghi Fahmy A. Bendary Kamel Elserfi

DOI:, Pub. Date: 8 Nov. 2018

The main focuses are to design controlling systems of good disturbance, stability rejection, and small error-tracking. Trajectory tracking of robot manipulators are controlled by several methodologies, but when robot manipulator works with uncertain dynamic models, some limitations of this technique appear. Concerning the control perspective, such uncertainty can be divided into two groups: the unstructured inputs (e.g. disturbance effect) and the structure dynamics (e.g. the changes of parameter). Within a small number of applications, some environments, could be unknown or unstructured, make use of robot manipulators, along with some tools of strong mechanics also can make use of new methods of control to design a controller of nonlinear robust with a reasonable performance. So in this paper we test the effect of disturbance in control the first DOF of PUMA 560 using non model based FO-Fuzzy-PID controller and compared its results with two model based controllers (CTC, ANN). Also we study the effect of change of inertias parameters in the 2 cases Model based control and non- Model based control and then discus which controller give the best results. The main objective of this paper is that the non model based FO-Fuzzy-PID is able to emulate the manipulator dynamic behaviour without the need to have a complex nonlinear mathematical model for the robot.

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