Understanding PID Control, Part 2: Expanding Beyond a Simple Integral
The first video in this series described a PID controller, and it showed how each of the three branches help control your system.
- Download Code Examples to Learn How to Automatically Tune PID Controller Gainshttps: http://bit.ly/2HKBh12
That seemed simple enough and appeared to work. However, in practice, an ideal PID controller introduces several problems that you need to protect against when dealing with imperfect systems. This includes saturation, which is a common nonlinear problem found in real-life situations.
This video expands beyond a simple integral and outlines several changes that protect your system against integral wind-up. Integral wind-up occurs when the summation within the integral increases beyond the saturation limit of the actuators it’s controlling, causing reduced performance.
PID Control with MATLAB and Simulink: http://bit.ly/2Qg57y8
PID Control Made Easy: http://bit.ly/2Q7Hhor
Anti-Windup Control Using a PID Controller: http://bit.ly/2QauNMQ
Watch more MATLAB Tech Talks: http://bit.ly/2rTc8Yp
Check out more control system lectures on Brian's Channel: http://bit.ly/2IUlvkw
Get a free MATLAB Trial: https://goo.gl/ZHFb5u
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
See What's new in MATLAB and Simulink: https://goo.gl/pgGtod
© 2018 The MathWorks, Inc. MATLAB and Simulink are registered
trademarks of The MathWorks, Inc.
See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.
Видео Understanding PID Control, Part 2: Expanding Beyond a Simple Integral канала MATLAB
- Download Code Examples to Learn How to Automatically Tune PID Controller Gainshttps: http://bit.ly/2HKBh12
That seemed simple enough and appeared to work. However, in practice, an ideal PID controller introduces several problems that you need to protect against when dealing with imperfect systems. This includes saturation, which is a common nonlinear problem found in real-life situations.
This video expands beyond a simple integral and outlines several changes that protect your system against integral wind-up. Integral wind-up occurs when the summation within the integral increases beyond the saturation limit of the actuators it’s controlling, causing reduced performance.
PID Control with MATLAB and Simulink: http://bit.ly/2Qg57y8
PID Control Made Easy: http://bit.ly/2Q7Hhor
Anti-Windup Control Using a PID Controller: http://bit.ly/2QauNMQ
Watch more MATLAB Tech Talks: http://bit.ly/2rTc8Yp
Check out more control system lectures on Brian's Channel: http://bit.ly/2IUlvkw
Get a free MATLAB Trial: https://goo.gl/ZHFb5u
Learn more about MATLAB: https://goo.gl/8QV7ZZ
Learn more about Simulink: https://goo.gl/nqnbLe
See What's new in MATLAB and Simulink: https://goo.gl/pgGtod
© 2018 The MathWorks, Inc. MATLAB and Simulink are registered
trademarks of The MathWorks, Inc.
See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names maybe trademarks or registered trademarks of their respective holders.
Видео Understanding PID Control, Part 2: Expanding Beyond a Simple Integral канала MATLAB
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Understanding PID Control, Part 3: Expanding Beyond a Simple DerivativeUnderstanding PID Control, Part 1: What Is PID Control?PID Balance+Ball | full explanation & tuningDrone Simulation and Control, Part 1: Setting Up the Control ProblemSimulink Control Systems and PID, Matlab R2020bTuning A Control Loop - The Knowledge BoardHow to Tune a PID ControllerPID Math DemystifiedPID Controller ExplainedPIDs SimplifiedUnderstanding PID Control, Part 4: A PID Tuning GuideWhat is a PID Controller?PID Control - A brief introductionAnti-windup compensationTeaching Old Motors New Tricks - Part 1Anti-Windup for Integrator and Noise Filter for Differentiator | Part6 - Control Systems SimplifiedDesigning a PID Controller Using the Ziegler-Nichols MethodPID Temperature Control in MATLAB