Skip to content
MathWorks - Mobile View
  • Sign In to Your MathWorks AccountSign In to Your MathWorks Account
  • Access your MathWorks Account
    • My Account
    • My Community Profile
    • Link License
    • Sign Out
  • Products
  • Solutions
  • Academia
  • Support
  • Community
  • Events
  • Get MATLAB
MathWorks
  • Products
  • Solutions
  • Academia
  • Support
  • Community
  • Events
  • Get MATLAB
  • Sign In to Your MathWorks AccountSign In to Your MathWorks Account
  • Access your MathWorks Account
    • My Account
    • My Community Profile
    • Link License
    • Sign Out

Videos and Webinars

  • MathWorks
  • Videos
  • Videos Home
  • Search
  • Videos Home
  • Search
  • Contact sales
  • Trial software
21:43 Video length is 21:43.
  • Description
  • Related Resources

EE Journal Chalk Talk: Simulation-Based Tuning of Power Electronics Controllers

Amelia Dalton, EE Journal

Simulation of power electronics, and power electronics digital controls specifically, offers many benefits. In this video we focus on using simulation for tuning digital power electronics controllers.

Digital controllers are increasingly used in power electronics and offer many advantages over analog control, including flexibility and adaptability. With digital control, controllers can be changed using a software update. Additionally, digital control allows for implementation of complex control algorithms such as gain-scheduling, MIMO control, and adaptive control.

These factors, together with decreasing costs of microcontrollers and FPGAs, are contributing to increasing adoption of digital control for power electronics system. If you are designing embedded software for your digital controller, you need to tune controller gains to ensure the control system meets the requirements. One option is to tweak the gain in software and test it on the physical prototype. However, this can result in the damage to your hardware, and does not guarantee the optimal design.

We consider how simulation models of power electronics can be leveraged for systematic tuning of controllers. We discuss and demonstrate several different methods for simulation-based tuning. These methods include an AC sweep method for obtaining average model representation of power electronics system, using system identification for obtaining a transfer function of power electronics power stage from measured input-output date, and PID auto-tuning for computing PID controller gains directly from a simulation model. We explain how each method works, and illustrate each method by using it to design controllers for a power converter modeled in Simulink.

Related Products

  • Simulink Control Design

Learn More

How much do you know about power conversion control?
Get packaged trial

3 Ways to Speed Up Model Predictive Controllers

Read white paper

A Practical Guide to Deep Learning: From Data to Deployment

Read ebook

Bridging Wireless Communications Design and Testing with MATLAB

Read white paper

Deep Learning and Traditional Machine Learning: Choosing the Right Approach

Read ebook

Hardware-in-the-Loop Testing for Power Electronics Control Design

Read white paper

Predictive Maintenance with MATLAB

Read ebook

Electric Vehicle Modeling and Simulation - Architecture to Deployment : Webinar Series

Register for Free

How much do you know about power conversion control?

Start quiz
Related Information
Related Information
Get Power Conversion Controls eBooklet

Feedback

Up Next:

4:56
Automatic Tuning of a Helicopter Flight Control System

Related Videos:

5:04
Automatic Tuning of a Multivariable Distillation Column...
5:40
PID Controller Tuning for a Model with Discontinuities
2:47
Automatic Tuning of Multi-Loop DC Motor Controller
4:51
Gain Scheduling of PID Controllers
MathWorks - Domain Selector

Select a Web Site

Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .

  • Switzerland (English)
  • Switzerland (Deutsch)
  • Switzerland (Français)
  • 中国 (简体中文)
  • 中国 (English)

You can also select a web site from the following list:

How to Get Best Site Performance

Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.

Americas

  • América Latina (Español)
  • Canada (English)
  • United States (English)

Europe

  • Belgium (English)
  • Denmark (English)
  • Deutschland (Deutsch)
  • España (Español)
  • Finland (English)
  • France (Français)
  • Ireland (English)
  • Italia (Italiano)
  • Luxembourg (English)
  • Netherlands (English)
  • Norway (English)
  • Österreich (Deutsch)
  • Portugal (English)
  • Sweden (English)
  • Switzerland
    • Deutsch
    • English
    • Français
  • United Kingdom (English)

Asia Pacific

  • Australia (English)
  • India (English)
  • New Zealand (English)
  • 中国
    • 简体中文Chinese
    • English
  • 日本Japanese (日本語)
  • 한국Korean (한국어)

Contact your local office

  • Contact sales
  • Trial software

MathWorks

Accelerating the pace of engineering and science

MathWorks is the leading developer of mathematical computing software for engineers and scientists.

Discover…

Explore Products

  • MATLAB
  • Simulink
  • Student Software
  • Hardware Support
  • File Exchange

Try or Buy

  • Downloads
  • Trial Software
  • Contact Sales
  • Pricing and Licensing
  • How to Buy

Learn to Use

  • Documentation
  • Tutorials
  • Examples
  • Videos and Webinars
  • Training

Get Support

  • Installation Help
  • MATLAB Answers
  • Consulting
  • License Center
  • Contact Support

About MathWorks

  • Careers
  • Newsroom
  • Social Mission
  • Customer Stories
  • About MathWorks
  • Select a Web Site United States
  • Trust Center
  • Trademarks
  • Privacy Policy
  • Preventing Piracy
  • Application Status

© 1994-2022 The MathWorks, Inc.

  • Facebook
  • Twitter
  • Instagram
  • YouTube
  • LinkedIn
  • RSS

Join the conversation