For a new and improved version, see https://github.com/PIDTuningIreland/pyPIDTune

Python PID Tuner using OPC-UA

Windows Exe (no install required) -> https://github.com/Destination2Unknown/pytuneOPC/releases

To install use:

pip install pytuneOPC

PID tuning in 4 Steps:

A-> Record PRC using Logger
B-> Tune using PID Tuner
C-> Refine tune using PID Simulator
D-> Test tune with FOPDT Simulator for PLC using OPC-UA

Create a launch file:

examplelaunch.pyw #use pyw for no console  

PID Logger

To launch use:

from pytuneOPC.pidlogger import plclogger

plclogger.main()
    

Stage 1 - PID Tuner based on a CSV file of a Process Reaction Curve (PRC)

Notes and Limitations:

• Assumes CV and PV data stored at 1 second intervals.

• Assumes there is a single step in CV.

• Ambient is calculated as an average of the PV prior to the step change.

• Doesn't work correctly with a ramp in CV or with multiple CV steps.

N.B.
The PID tuning values are calculated for a PV with a standard range span of 100 in engineering units (e.g. 0-100 deg C or 50-150 deg F).
If the range of the PV has a different span the PID tuning values may need to be rescaled, depending on manufacturer:

  Example 1: PV range of 200-400 deg C -> PID Gains x2

  Example 2: PV range of 75-100 deg C -> PID Gains x0.25

To launch use:

from pytuneOPC.stage1 import csvtuner

csvtuner.main()

Direct Acting:

Reverse Acting:

Stage 2 - Open loop tune

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Stage 3 - Closed loop tune

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Stage 4 - Adaptive tuner

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PID Simulator

Direct Acting:

To launch use:

from pytuneOPC.simulate import simulator

simulator.main()
    

FOPDT Process Simulator (PID Simulator) for PLC using OPC-UA

Simulates a Process:

To launch use:

from pytuneOPC.plcpidsim import plcsim

plcsim.main()
    

Windows Exe: