"Complete MATLAB/Simulink - Simulink Course for Electrical Engineering"

The only course out there with everything you need to know about MATLAB Simulink from A to Z.

Throughout the course, you will learn using MATLAB Simulink:

Simulation of basic electric circuits.
Simulation of operational amplifiers.
Simulation of charging and discharging of a capacitor.
Simulation of a source-free RL circuit.
Simulation of a source-free RC circuit.
Simulation of the step response of an RC circuit.
Simulation of the step response of an RL circuit.
Single-phase half-wave controlled rectifier.
Single-phase bridge controlled rectifier.
Single-phase AC chopper with R and RL load.
Buck regulator.
Boost regulator.
Buck-Boost regulator.
Single-phase half-bridge inverter.
Single-phase bridge inverter.
Three Phase Inverter.
PV cell in solar energy using Simulink tool in MATLAB.
How to obtain a complete grid-connected PV system in MATLAB.
You will learn about separately excited DC Machines and how to:
Model the DC machine in a no-load case using Simulink in MATLAB.
Model the DC machine in the presence of load torque using Simulink in MATLAB.
Simulating the DC machine using the power library from Simulink in MATLAB.
You will learn about Induction motors as:
Construction and principle of operation of induction motor.
Torque-speed characteristics of induction motor.
Equivalent circuit and power flow of induction motor.
Simulation of induction motor using Simulink in MATLAB.
Series resonant circuit in MATLAB.
Parallel resonant circuit in MATLAB.
Design of an overvoltage and undervoltage protection scheme with a reclosure feature in Simulink.
The masking feature in MATLAB Simulink and model callbacks.
How to apply electrical faults such as symmetrical and unsymmetrical faults to a grid-connected PV system and analyze the system's transient response.
Understanding the dynamics of first-order systems and analyzing responses.
Analyzing second-order systems, focusing on oscillatory behavior and damping effects.
Utilizing root locus techniques for system stability and response adjustment.
Analyzing lag and lead compensators.
Exploring different ways to fine-tune PID controller performance like open loop and closed loop Ziegler-Nichols methods.
Setting up and simulating a PID controller in Simulink + techniques for adjusting PID parameters in Simulink.
Selection of PID parameters using an optimization algorithm such as PSO or particle swarm optimization algorithm.
Basics of frequency response and conducting it within Simulink.
Applying Nyquist stability criterion for analyzing system stability.
Gain margin analysis using MATLAB, root locus, and Nyquist.
Understanding stability margins using bode plot analysis.
Calculating phase and gain margins in MATLAB.
Generating Bode plots for lead and lag compensators.

After Taking This Course, You Will Be Able To Distinguish Yourself as a MATLAB User & Programmer

Take this course if you've been looking for ONE COURSE with in-depth insight into MATLAB Simulation.

Thank you, and hope to see you in our course for MATLAB :)

Akram Hussen Nayem

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