Why this course?

Description

participants to MATLAB and Simulink environments, focusing on simulation-based learning of power electronic circuits and systems. Through hands-on projects, learners build essential skills in simulating and analyzing power converters, controllers, and machines.

Learning Outcomes

• Understand MATLAB/Simulink for electrical system modeling
• Simulate rectifiers, converters, and inverters
• Analyze electrical resonance and transient behaviors
• Control and simulate DC motor performance

Daily Breakdown

• Day 1: Introduction to MATLAB/Simulink (PPT)
• Day 2: Power Electronics Basics in MATLAB/Simulink (PPT + Video)
• Day 3: Simulation of Single Phase Uncontrolled Rectifiers – HWR & FWR (PPT + Video)
• Day 4: Controlled Rectifiers – HWR & FWR Simulation (PPT + Video)
• Day 5: Three-Phase Half-Wave Rectifier (Controlled & Uncontrolled) (PPT + Video)
• Day 6: Three-Phase Full-Wave Rectifier (Controlled & Uncontrolled) (PPT + Video)
• Day 7: 1-Phase AC Voltage Controller (Unidirectional & Bidirectional) (PPT + Video)
• Day 8: 3-Phase AC Voltage Controller Simulation (Video)
• Day 9: Buck Converter and DC-DC Converter Introduction (Video)
• Day 10: Boost Converter Simulation in MATLAB (Video)
• Day 11: Non-Inverter and Inverter Basics (Video)
• Day 12: PID Control of DC-DC Converter (Video)
• Day 13: SEPIC and ZETA Converter (Video)
• Day 14: CUK and Flyback Converter (Video)
• Day 15: Inverter Design and Analysis (Video)
• Day 16: Bipolar SPWM for Single Phase Inverter (Video)
• Day 17: Simulation of Single Phase Inverter (Video)
• Day 18: Transient Analysis in DC Circuits (Video)
• Day 19: Electrical Resonance Circuit Simulation & Analysis (Video)
• Day 20: Introduction to DC Machines (Video)
• Day 21: DC Motor Speed Control Simulation (Video)

Section 5: Internship Report Guidelines

Report Structure

Title Page

• Student details, mentor, project title

Abstract

• One-paragraph summary

Introduction

• Scope and purpose of the internship

Modules Covered

• Summary of tools and techniques

Case Studies and Projects

• Problem, implementation, outcomes

Insights and Learnings

• Tools mastered, challenges overcome

Conclusion

• Future applications of skills

References

• Cited datasets, libraries, documentation

Appendices

• Screenshots, code samples, charts