Activities & Projects

Current Mechatronics Student Projects and Research Topics are listed below:

Project Title:

Two Link Manipulator Arm Positioning Using Neural Network, Sliding Mode, and Nonlinear Controllers

Brief Description:

The objective of the project is to control the position of a two link manipulator arm using different control techniques such as neural network, sliding mode, and nonlinear controllers.

Student :

Muaatasem Awda

Project Advisors:

Dr. Mohammad Jarrah.

Dr. Yousef Al-Assaf.

____________________________________________________________________

Project Title:

Study Intersection Collision Avoidance System Deployment for a Modern City.

Brief Description:

An Intersection Collision Avoidance (ICA) system will be implemented.This system integrates vehicle tracking, roadway surface monitoring, and communication systems, will be able to utilize the information attained from its subsystems and determine whether a vehicle is on the course toward a potential collision. It is anticipated that the ICA system will be capable of monitoring vehicular traffic flow through the intersection, predicting the possibility of signal violations, delivering warning messages to targeted devices, and communicating time-critical messages in an appropriate radio band to suitably equipped vehicles.

Student :

Ahmad Al Zarooni.

Project Advisor:

Dr. Mohammad Jarrah.

____________________________________________________________________

Project Title:

Two Link Manipulator Arm Positioning Using Model-Free Controllers

Brief Description:

In this project model-free controllers are proposed to accomplish the task of positioning a
two links manipulator arm using neural networks, neuro-fuzzy, and polynomial classifier.
The objective of the proposed project is to compare between the performances of each of
the above mentioned controller in achieving the required task. The motivation of this
project is to experience the feasibility of using the latest technologies and techniques to
handle and control a real life application.

Student :

Rabih El Assadi

Project Advisors:

Dr. Mohammad Jarrah.

____________________________________________________________________

Thesis Title:

Model Identification of Unsteady Aerodynamic Loading of Delta Wings for High Angle of Attack Using a Polynomial Networks

Brief Description:

A novel method will be implemented based on a polynomial networks to model force and moment data obtained from forced oscillation tests of Delta wing at high angles of attack.

Student:

Mohammad Al-Khedher.

Thesis Advisors:

Dr. Khaled Assaleh.

Dr. Mohammad Jarrah.

____________________________________________________________________

Thesis Title:

Automatic classification in the field of marble.

Brief Description:

The main goal of this research is to implement an automatic system to classify marble tiles. Different image processing and pattern recognition techniques have been implemented. The features from images were extracted using different feature extraction methods. The extracted features were used for training the Classifier. Two classifiers were evaluated, feed forward neural network and polynomial classifiers.

Student:

Sufian Al Titi.

Thesis Advisors:

Dr. Yousef Al-Assaf.

Dr. Khaled Assaleh.

____________________________________________________________________

Thesis Title:

Next Generation 10 Gb/s RZ Optical Transmitters.

Brief Description:

To propose a new chirped RZ transmitter that provides telecom carriers with a low cost solution for upgrading the existing 2.5 Gb/s fiber links to 10 Gb/s.

Student:

Amira Al Houli.

Thesis Advisor:

Dr. Aly Elrefaie.

____________________________________________________________________

Thesis Title:

Brain Computer Interface based Prosthesis Control.

Brief Description:

A Brain Computer Interface (BCI) will be developed to control a robotic arm. The BCI incorporates EEG signal reading, EEG signal pre-processing, brain signal feature extraction or pattern recognition, control interface design, and prosthesis control using the extracted features.

Student:

Hania Rana.

Thesis Advisors:

Dr. Hasan Al-Nashash.

Dr. Yousef Al-Assaf.

____________________________________________________________________

Thesis Title:

Improving GPS accuracy using neuro-fuzzy systems

Brief Description:

Single GPS receiver is capable of horizontal accuracy within 10 to 20 meters. Manipulating a low cost GPS receiver positioning data with artificial intelligence methods may improve the accuracy up to an acceptable value acceptable good enough for such applications. In this research, neuro-fuzzy systems will be considered to improve the accuracy of GPS receiver. Various GPS parameters are used to develop these systems. The developed methods are tested on static and dynamic positioning.

Student:

Samer Imad Akoum

Thesis Advisors:

Dr. Yousef Al-Assaf.

____________________________________________________________________

Thesis Title:

Fuzzy Autonomous Flight controller

Brief Description:

A digital flight controller using fuzzy logic will be implemented in Motorola MC68HC12 microcontroller. There will be several phases to accomplish the final goal, studying the UAV aerodynamics, simulating a good Fuzzy Logic Controller, sensor interfacing and integrating the control logic with the system. The simulation of the linearized system shows that fuzzy controller has a better performance than the LQR controller. The fuzzy controller reduces the transient time and it would decrease the control effort. This shows that a nonlinear controller like FLC can sometimes perform better than the conventional controllers when it is applied to a nonlinear system.

Student:

Mahmoud Hadi

Thesis Advisors:

Dr. Mohammad Jarrah.

____________________________________________________________________

Other Student Projects

Project Title:

Robot Soccer

Brief Description:

The goal of the project is to research about robot soccer strategies to find out how to implement an intelligent system using Neuro-fuzzy technology, in order to increase the efficiency of real-time planning of the robot soccer game. The hardware needed for the system is already present, so the real work is to design a software system that would interface with the hardware. The proposed system integrates the Neuro-fuzzy technology with robot-soccer strategies to build an intelligent system. The system will allow for a better and more efficient control over the robots, in addition to a simpler implementation of future strategies.

Project Title:

Controller Design of the Locomotion System for An Autonomous Cleaning System for Dubai International Airport

Brief Description:

This project presents the design and implementation of autonomous cleaning system algorithm for Dubai International Airport. Different approaches were presented to build the locomotion platform for an autonomous cleaning system cleaning. Two types of controllers were discussed to achieve the design objectives: conventional gain scheduled PID controller, and Fuzzy PID controller. Tests have been conducted for the PID fuzzy controller in the preliminary design analysis.
Modelling of both electrical and mechanical subsystems of the cleaning system, and both controllers were implemented using Simulink.