Passing complex data structures from Simulink into generated C code can indeed be challenging due to the limitations of TLC and the separation between MATLAB and TLC environments. Here are some potential approaches you can consider addressing this issue:
Use “MATLAB Function block” in your Simulink model to manipulate and prepare your complex data structures. Convert these structures into a simpler format that can be easily handled by C code, such as arrays or structures.
You can also try the following steps:
1. Serialize your simplified data structure to a string format (e.g., JSON or a custom delimiter-separated format) using MATLAB code. This can be done within a model callback function or a MATLAB script.
% sample code
data = struct('field1', value1, 'field2', value2);
jsonData = jsonencode(data);
fid = fopen('data.json', 'w');
fprintf(fid, '%s', jsonData);
fclose(fid);
2. Write a custom C function to parse the serialized data. This function will be included in your Simulink model as part of the generated code.
3. Include your custom C parsing function in the Simulink model using a Custom Code block or by modifying the System Target File to include your C code during the build process.
Ensure that the file handling and parsing code is correctly linked and compiled with the generated code. This setup allows you to maintain complex data structures with minimal manual intervention during code generation.
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