MATLAB | What Is Sliding Mode Control? @MATLAB | Uploaded September 2024 | Updated October 2024, 1 week ago.
Sliding mode control is a nonlinear control law that has a few nice properties, such as robustness to uncertainties and disturbances, and is relatively straightforward to implement and tune. However, one drawback is chattering where the system state, and therefore, the actuators trying to maintain the state, jitter back and forth quickly, which might not be desirable.
This MATLAB Tech Talk covers mitigations for this chattering. Overall, sliding mode control is worth understanding because it is a really interesting controller, and you might find that it’s right for your application.
This video is divided into three parts. In the first part, be walked through a graphical explanation of the controller to try to get some intuition into how it works. For the second part, see a derivation of it so you understand the mathematics. And in the third part, you’ll see an example of a controller in MATLAB® and Simulink®.
To learn more, see this MATLAB example for sliding mode control design for a mass-spring-damper system: Sliding Mode Control Design for Mass-Spring-Damper System - bit.ly/476cNIx
Related Resources:
- Capabilities for Modeling Dynamic Systems: bit.ly/4bGBNqr
- Sliding Mode Control Design for a Robotic Manipulator: bit.ly/4dFWPam
Chapters:
00:00 Introduction to sliding mode control
01:04 Graphical explanation of sliding mode control
11:13 Derivation of the sliding mode controller
16:20 Example of sliding mode control in Simulink
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Learn more about MATLAB: goo.gl/8QV7ZZ
Learn more about Simulink: goo.gl/nqnbLe
See what's new in MATLAB and Simulink: goo.gl/pgGtod
© 2024 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
Sliding mode control is a nonlinear control law that has a few nice properties, such as robustness to uncertainties and disturbances, and is relatively straightforward to implement and tune. However, one drawback is chattering where the system state, and therefore, the actuators trying to maintain the state, jitter back and forth quickly, which might not be desirable.
This MATLAB Tech Talk covers mitigations for this chattering. Overall, sliding mode control is worth understanding because it is a really interesting controller, and you might find that it’s right for your application.
This video is divided into three parts. In the first part, be walked through a graphical explanation of the controller to try to get some intuition into how it works. For the second part, see a derivation of it so you understand the mathematics. And in the third part, you’ll see an example of a controller in MATLAB® and Simulink®.
To learn more, see this MATLAB example for sliding mode control design for a mass-spring-damper system: Sliding Mode Control Design for Mass-Spring-Damper System - bit.ly/476cNIx
Related Resources:
- Capabilities for Modeling Dynamic Systems: bit.ly/4bGBNqr
- Sliding Mode Control Design for a Robotic Manipulator: bit.ly/4dFWPam
Chapters:
00:00 Introduction to sliding mode control
01:04 Graphical explanation of sliding mode control
11:13 Derivation of the sliding mode controller
16:20 Example of sliding mode control in Simulink
--------------------------------------------------------------------------------------------------------
Get a free product trial: goo.gl/ZHFb5u
Learn more about MATLAB: goo.gl/8QV7ZZ
Learn more about Simulink: goo.gl/nqnbLe
See what's new in MATLAB and Simulink: goo.gl/pgGtod
© 2024 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc.
See mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
