Electrical Course

MATLAB for Electricals

The course provides a comprehensive foundation in MATLAB programming, including built-in functions, conditional statements, and data visualization through plots and graphs. It also introduces Simulink, Stateflow, and various simulation libraries, enabling the development and verification of dynamic system models. Through practical applications in control systems, mechanical translational systems, and electrical systems using Simscape, I gain hands-on experience in designing and analyzing real-world engineering solutions. The inclusion of industrially relevant projects, such as thyristor gate triggering and star-delta starting circuits for induction machines, further enhances my understanding of electrical engineering concepts. Overall, this course helps bridge the gap between theoretical knowledge and practical implementation, preparing me for advanced engineering projects, research, and professional roles in the fields of electrical engineering, automation, and system design. 

Electrical Courses
40+
Instructional Hours

Why Choose This AI & ML Course?

Course Overview

Our comprehensive course curriculum covers everything from fundamentals to advanced techniques, preparing you for a successful career.

40
Instructional Hours
20.00
Comprehensive Modules
30.00
Lab Hours
2.00
Capstone Project
Module Duration (Hours) Theory Lab Self-Study Tools/Software
Fundamentals of MATLAB 2 1 1 -
Number system & built-in functions 4 1 1 -
Conditional Statements 2 1 1 -
Working With Plot/Graph 2 1 1 -
Introduction to simulink interface 2 - 2 -
Working with The sinks library 2 - 2 -
Working with libraries 4 - 4 -
The model verification library and their blocks 2 - 2 -
Basic approach to build a Stateflow model 6 2 4 -
Introduction to control systems 2 1 1 -
Modelling mechanical translational systems 4 - 4 -
Simscape: The electrical library 4 1 3 -
Thyristor gate triggering test circuit– Star Delta starting circuit for an induction machine 2 - 2 -
Capstone Project 2 - 2 -
Total Hours 40 8 30

What You Will Learn

  • Navigate the MATLAB environment and utilize its development tools effectively.

  • Write, execute, and debug MATLAB scripts and functions.

  • Apply built-in mathematical and engineering functions for problem-solving.

  • Work with variables, arrays, matrices, and data structures commonly used in engineering applications.

  • Implement conditional statements and logical operations to automate engineering calculations.

  • Develop algorithms to solve numerical and analytical engineering problems.

  • Perform data analysis and mathematical modeling using MATLAB.

  • Create professional plots, graphs, and visual representations of engineering data.

  • Analyze system behavior through graphical interpretation.

  • Present technical results using MATLAB visualization tools.

  • Understand the Simulink environment and simulation workflow.

  • Build dynamic system models using Simulink blocks and libraries.

  • Configure simulation parameters and analyze simulation results.

  • Develop block-diagram-based models for engineering applications.

  • Utilize Model Verification libraries to test and validate system performance.

  • Identify, troubleshoot, and correct modeling errors.

  • Apply verification techniques to improve model reliability and accuracy.

  • Design state-based and event-driven systems using Stateflow.

  • Create finite state machine (FSM) models for control applications.

  • Implement logic-based decision-making systems for automation and control.

  • Understand fundamental concepts of feedback and control systems.

  • Model and simulate control systems using MATLAB and Simulink.

  • Analyze system responses and performance characteristics.

  • Apply simulation techniques to evaluate control strategies.

  • Develop translational mechanical system models using Simulink.

  • Simulate motion, force, mass, damping, and spring-based systems.

  • Analyze dynamic behavior of mechanical systems through simulation.

  • Build and simulate electrical circuits using Simscape Electrical.

  • Model electrical components and power system elements.

  • Analyze electrical system performance under different operating conditions.

  • Apply simulation techniques to practical electrical engineering problems.

  • Simulate thyristor gate triggering circuits.

  • Design and analyze Star-Delta starting circuits for induction motors.

  • Understand motor starting methods and their operational characteristics.

  • Evaluate power electronic control strategies through simulation.

  • Integrate MATLAB, Simulink, Stateflow, and Simscape tools into complete engineering solutions.

  • Develop simulation-based projects following professional engineering practices.

  • Interpret simulation results and make engineering decisions based on data.

  • Create project documentation and technical presentations.

  • Electrical Engineering

  • Control Systems Engineering

  • Power Systems Engineering

  • Industrial Automation

  • Embedded Systems Development

  • Robotics and Mechatronics

  • Research and Development (R&D)

  • Data Analysis and Technical Computing

  • Simulation and Modeling Engineering

  • Graduate Studies and Academic Research

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