My Courses

EEET 221 - Electrical Control Systems

This course covers the industrial control systems, relating to manual and automatic system control directed towards industrial applications and includes electromagnetic control and solid state control. The course also deals with components of a control system such as the contactors, relays, pilot devices, push button switches, master switches circuit breakers, manual and automatic starters for AC and DC motors, electrical braking methods, speed control methods, inverters and choppers.

Laboratory exercises support the theory classes. Practical circuits are analyzed to promote and strengthen the mathematical and analytical capabilities of the students, and to help them understand & apply their concepts in the design and implementation of electrical systems.

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EEET 324 - Computer Applications in Electrical Systems

In this course the main computer package for electrical engineering applications (MATLAB-SIMULINK) is introduced. The common engineering analysis and calculations such as complex numbers, matrices, solving ordinary and differential equation are treated using the package. Moreover, plotting results and graphics to illustrate results are explained.

In addition, modelling equations and running simulation for DC motor, power electronics and electrical systems applications using SIMULINK blocks is demonstrated.

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EEET 427 - Senior Design Project

The project topic available for the semester is Load Frequency Control of multi area hybrid system using PI and Fuzzy Controllers. This senior Design Project will propose a fuzzy approach to control the load frequency deviations. A hybrid multi area linear system is modeled in MATLAB Simulink environment. After the development of hybrid power system models different types of controllers are developed. Fuzzy approach is one of important methodology of soft computing tools to solve the power system problem in a very efficient way for last two decades. The performances of these controllers are compared for disturbance in either area.

Fuzzy logic controller is chosen as a controller for this project because it consist several advantages. It provides parallel or distributed control, linguistic control, robust control, and It is suitable for application such as automatic generation control which has non linearity. Fuzzy logic controller is able to cope with system uncertainty which is the disadvantage of traditional controller.

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