Modeling and Control of Power Electronics Specialization

0
Language

Last updated on January 14, 2026 1:51 pm

Enhance your skills in analysis, modeling, and design of high-performance control loops for power converters with this specialized course. Learn techniques for dc-dc, ac-dc, and dc-ac power conversion, as well as power factor correction and photovoltaic systems. Design and test control loops in a 5 kW photovoltaic power system. Start advancing your engineering career today!

Add your review

This Specialization is intended for students and engineers seeking to advance skills in the analysis, modeling, and design of high-performance control loops around switched-mode dc-dc, ac-dc and dc-ac power converters. Through five courses, you will cover averaged-switch modeling and simulation techniques, techniques of design-oriented analysis, input filter design, peak and average current-mode control techniques, as well as modeling and control of single-phase power factor correction rectifiers, and inverters for photovoltaic power systems.

Learners will start with supplied Spice simulation examples to design and verify their own high-performance closed-loop controlled dc-dc converters, ac-dc power-factor correction rectifiers, and photovoltaic dc-ac inverters. The final course in the Specialization includes a peer-graded project where learners design and test control loops in a complete 5 kilowatt photovoltaic (PV) power system including a maximum power point tracking boost converter and a single-phase grid-tied inverter.

User Reviews

0.0 out of 5
0
0
0
0
0
Write a review

There are no reviews yet.

Be the first to review “Modeling and Control of Power Electronics Specialization”

×

    Your Email (required)

    Report this page
    Modeling and Control of Power Electronics Specialization
    Modeling and Control of Power Electronics Specialization
    LiveTalent.org
    Logo
    LiveTalent.org
    Privacy Overview

    This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.