This project has been created to support tuning a PID controller for a home brewing setup using CraftBeerPI.It consists of a brewing kettle simulation, a PID controller (based on Arduino PID Library) and a PID autotune algorithm (based on Arduino PID Autotune Library)
Auto Tuning: (Standard with all Eurotherm PID Controllers) The standard initial method of tuning a process loop is to use the advanced adaptive tuning algorithms inbuilt in today’s controllers, to automatically test the loop and implement the optimum PID control parameters.
Compare different PID parameters using the default kettle setup:
sim.py --pid 'reference' 98 0.66 230 --pid 'Kp too low' 30 0.66 230 --pid 'Ki too low' 98 0.01 230
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Simulate a PID autotune run on a 50l kettle with a 4 kW heater:
sim.py --atune --volume 50 --power 4
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Generated PID parameters using different tuning rules:
git clone https://github.com/hirschmann/pid-autotune.git
pip install matplotlib
After you have completed these steps, you should be able to run sim.py as shown above. If plots are not shown, you have to configure the matplotlib backend, see What is a backend?
PID autotuning lets you tune a PID controller without a parametric plant model or an initial controller design. Deploy the algorithm to tune a controller in real time for a physical plant.
To use PID autotuning, configure and deploy a PID autotuner block. The block injects test signals into your plant and tunes PID gains based on an estimated frequency response.
Use the PID autotuning algorithm to tune against a plant modeled in Simulink while the model is running.
Deploy the PID autotuning algorithm as a standalone application for real-time tuning against your physical system.
Run the PID algorithm against your physical plant while controlling the tuning process in Simulink.
Tune a single-loop PID controller in real time by injecting sinusoidal perturbation signals at the plant input and measuring the plant output during an closed-loop experiment.
Tune a single-loop PID controller in real time by injecting sinusoidal perturbation signals at the plant input and measuring the plant output during an open-loop experiment.