Hi Andrei Tulbure
Yes, it is possible to link Python functions and Simulink models. The ‘MATLAB Function’ block in Simulink can be utilized to invoke Python functions and exchange data between Simulink and Python.
Here's an approach to achieve the desired integration between Simulink and your Python function:
- Create a Python script that implements your neural network controller. This script should take the motor RPM as input and return the PWM signal as output. Make sure your script is compatible with the version of Python installed on your system.
- Save the Python script as a ‘.py’ file on your computer.
- In Simulink, add a ‘MATLAB Function’ block to your model. This block will act as a wrapper for your Python function.
- Double-click on the ‘MATLAB Function’ block to open the block dialog.
- Define the inputs and outputs of the ‘MATLAB Function’ block to match the input and output of your Python function. For example, you may have an input for motor RPM and an output for the PWM signal.
- Inside the MATLAB Function block, use 'coder.extrinsic' and 'pyrunfile' to declare the function as an extrinsic function and execute the Python script. Here's an example code snippet:
function pwm_signal = myPythonController(rpm)
coder.extrinsic('pyrunfile');
coder.extrinsic('example');
pwm_signal = 0;
pwm_signal = double(pyrunfile("YourFile.py","OutputVariable",x=rpm))
end
In the code above, 'x' represents the parameter to be passed to your Python file.
7. Now you can run your model to observe the integration
For further details and additional information, you can consult the following documentation:
