Simulation of Electrical Machines in MATLAB Simulink (7)

Take your skills in electric machine simulation to the next level with this advanced course using MATLAB Simulink.

What's Inside

Through a series of practical modules, you'll learn to model and simulate various types of electric machines, from DC motors to synchronous machines, and explore their behavior under different operating conditions.

Begin by mastering the art of DC motor modeling, both at no-load and loaded conditions, using Simulink.

Explore advanced topics such as modeling DC motor blocks using the power library in MATLAB, and gaining insight into efficient simulation techniques for complex systems.

Dive into the realm of induction motors, understanding their behavior through Simulink simulations.

Learn to model synchronous machines and connect them to small power systems.

Finally, discover how to import data from PSCAD programs for fault location detection into MATLAB, enabling you to integrate simulation results from different platforms seamlessly.

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45376+ Students
6 Lectures
2+ Hours of Video
Lifetime Access
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Engineer Ahmed Mahdy

I am Ahmed Mahdy an electrical power engineer, researcher, and the founder of Khadija Academy. I am also an electrical bestselling instructor and have helped more than 70,000 students from 191 countries achieve career success with simple and easy courses in the last 7 years.​ In addition to having a YouTube educational engineering channel called" Khadija Academy", where I regularly post videos related to electrical engineering. In 2018, I was nominated among the top 10% of instructors on Udemy, besides currently ranking among the top instructors in the engineering sector of Udemy.


Some of my published research works in the top electrical engineering journals worldwide:


1- ​Transient stability improvement of wave energy conversion systems connected to power grid using anti-windup-coot optimization strategy - Energy Journal - Impact Factor of 9.0.


2- Nonlinear Modeling and Real-Time Simulation of a Grid-Connected AWS Wave Energy Conversion System - IEEE Transactions on Sustainable Energy - Impact Factor of 8.8.


3- Modeling and optimal operation of hybrid wave energy and PV system feeding supercharging stations based on golden jackal optimal control strategy - Energy Journal - Impact Factor of 9.​0.


4- State-of-the-Art of the most commonly adopted wave energy conversion systems - Ain Shams Engineering Journal - Impact Factor of 6.0.


5- Optimal Design of Fractional-Order PID Controllers for a Nonlinear AWS Wave Energy Converter Using Hybrid Jellyfish Search and Particle Swarm Optimization - Fractal and Fractional - Impact Factor of 5.4


6- Dynamic performance enhancement of nonlinear AWS wave energy systems based on optimal super-twisting control strategy - Ain Shams Engineering Journal - Impact Factor of 6.0.

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