A library of PID tuning rules.
This is a nano project yet, so you'll must run the chunk of code below to "install" it (at least for now).
from requests import get
url = 'https://raw.githubusercontent.com/gmxavier/turu/main/turu.py'
r = get(url)
with open('turu.py', 'w') as f:
f.write(r.text)
from turu import *
Considering the Example 5.7A from here. What would be the PID controller settings using the Ziegler Nichols rule?
# Ziegler-Nichols tuning settings as gains (proportional, integral and derivative)
Kp, Ki, Kd = ziegler_nichols(K=1.25, tau=4, theta=0.9, type_of_controller='PID')
# tuning settings as proportional gain, integral time and derivative time
[Kp, Kp/Ki, Kd/Kp]
[4.266666666666667, 1.8, 0.45]
If you ❤️ Python and know a PID tuning rule that is not here, please code it and make a pull request.
If you ❤️ Python and need a PID tuning rule that is here, but not in turu yet, please code it and make a pull request.
If you ❤️ this project and found an bug, need a feature or have a suggestion, we kindly ask you to open an issue.