It can be difficult to navigate all the resources that promise to explain the secrets of PID tuning.
Some proclaim that PID tuning is an art that requires finesse and experience, while others are adamant that tuning requires a few rigid rules. Why is there such a vast difference? It is because PID tuning depends on the characteristics of the system. For that reason, a one-size-fits-all tuning method doesn’t exist.
- Download Code Examples to Learn How to Automatically Tune PID Controller Gains: http://bit.ly/2HKBh12
Get an overview of various PID tuning techniques ranging from model-based tuning to heuristic methods such as Ziegler-Nichols and Cohen-Coon.
Related Resources:
- PID Control with MATLAB and Simulink: http://bit.ly/2Qg57y8
- PID Control Made Easy: http://bit.ly/2Q7Hhor
- PID Control Design with Control System Toolbox: http://bit.ly/2QbdHy5
- Designing PID Controllers with PID Tuner: http://bit.ly/2QjVtLf
- PID Controller Tuning in Simulink: http://bit.ly/2Q9sIRc
- PID Controller Design for a DC Motor: http://bit.ly/2QfhlXS
- Automated PID tuning: http://bit.ly/2QeDfdP
- Embedded PID Autotuner: http://bit.ly/2QfhLNW
Watch more MATLAB Tech Talks: http://bit.ly/2rTc8Yp
Check out more control system lectures on Brian's Channel: http://bit.ly/2IUlvkw
Additional References:
- Summary of PID Tuning - Overview: http://bit.ly/2KEQ9yZ
- Control System Design with the Control System Designer App - Video: http://bit.ly/2KuAnr9
- PID Control System Analysis and Design - IEEE Article: http://bit.ly/2KoWMWV
- For a handy guide on how PID gains affect different requirements, see table 1.
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