MATLAB Electrical

Learn basics of MATLAB Simulink to simulate different electric components & Control system in MATLAB Simulink for electrical engineering
For Electrical Engineers

Course Type

alternative

₹ 18196  

What You'll Learn ?

Creating 2D and 3D plots in MATLAB
MATLAB fundamentals for electrical engineering
Knowledge of command window & workspace window
MATLAB built-in function proficiency
Simulink modeling and simulation
Editing Lookup Tables and setting breakpoints
Stateflow modeling for control systems
Managing events within state machines
Truth tables and State transition table usage
Building Simscape models

Description

Course Description

The course focuses on how to implement complex decision flows and finite-state machines using Stateflow and provides a general understanding of how to accelerate the design process for closed-loop control systems using MATLAB. Also it offers the good understanding of modelling and analyzing electrical systems.

Course objectives

This course gives guidance on key features of widely used toolboxes in simulink, help transform concepts to a complete model, verify and evaluate the system behaviour in different user environments. It allows the attendees to explore the more advanced features of MATLAB in a unified manner and help learners 'future-proof' themselves and remain relevant for the rapidly evolving technology from industry perspective.

Roles in industry

Matlab is a widely used tool in electrical engineering. It can be used to enhance and accelerate some processes, such as magnetic field measurements. model based development . Auto code generation through model based development and m scripts. Tool creation for testing and development through m scripts.

Course Highlights
  • Simulink modelling
  • Model Based Designing
  • Masks and Subsystems,
  • Lookup table editor and breakpoints
  • Stateflow modelling
  • Hierarchical state machines
  • Parallel state machines
  • Events in state machines
  • Functions in state machines
  • Truth tables and State transition tables
  • Control systems stability analysis
  • Controller implementation – P, PI, PID
  • Frequency response estimation