Understanding PID Control, Part 4: A PID Tuning Guide

It can be difficult to navigate all the resources that promise to explain the secrets of PID tuning.
- Download Code Examples to Learn How to Automatically Tune PID Controller Gains http://bit.ly/2HKBh12
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.

Get an overview of various PID tuning techniques ranging from model-based tuning to heuristic methods such as Ziegler-Nichols and Cohen-Coon.

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:

An 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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