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
  Register to watch video
  • Description
  • Related Resources

Robust Tuning with the Control System Tuner App

Arkadiy Turevskiy, MathWorks

Automatically tune controllers to maximize performance over a range of parameter values using the Control System Tuner app from Robust Control Toolbox™. In the example featured in this video, the plant is a mass-spring-damper system. The nominal values of mass, spring stiffness, and damping are known, but the actual parameter values can vary up to 40% from the nominal values. The goal is to design a PID controller that will be robust to the uncertainty of the in-plant model parameters.

The video shows how to use the Control System Tuner app to design a robust controller. The plant and the controller are modeled in Simulink®. Parameter uncertainty is defined using Robust Control Toolbox. The video shows how you can use the block substitution capability of Simulink Control Design™ to linearize a plant model, while taking parameter uncertainty into account. It illustrates how to create an uncertain state-space system that represents variations in plant dynamics due to the uncertainty of the in-plant parameter values. Next, the Control System Tuner app is used to tune PID controller gains to meet design requirements for all possible combinations of plant parameters. You then see how to compute the worst-case step response of the closed-loop system and compare it with the worst-case step response of the PID controller tuned for the nominal plant parameter values. The comparison shows that a robustly tuned PID controller has superior worst-case performance.

Related Products

  • Robust Control Toolbox

Feedback

Featured Product

Robust Control Toolbox

  • Request Trial
  • Get Pricing

Up Next:

19:20
Automatic Tuning of Gain-Scheduled Controllers

Related Videos:

3:52
Control System Design with the Control System Designer App
4:56
Automatic Tuning of a Helicopter Flight Control System
34:18
Control System Tuning in Simulink Made Easy
2:22
PID Control Design with Control System Toolbox

View more related videos

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: .

Select web site

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

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
  • Answers
  • Consulting
  • License Center
  • Contact Support

About MathWorks

  • Careers
  • Newsroom
  • Social Mission
  • Contact Sales
  • About MathWorks

MathWorks

Accelerating the pace of engineering and science

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

Discover…

  • Select a Web Site United States
  • Patents
  • Trademarks
  • Privacy Policy
  • Preventing Piracy
  • Application Status
  • Modern Slavery Act Transparency Statement

© 1994-2021 The MathWorks, Inc.

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

Join the conversation