Why code generation bridges model to embedded deployment in Simulink - See It in Action

Why code generation bridges model to embedded deployment

📖 Scenario: Imagine you have designed a control system model in Simulink for a small robot. Now, you want to make the robot work in real life by running your model on its embedded hardware.

🎯 Goal: Learn how code generation helps convert your Simulink model into code that can be deployed on embedded devices.

📋 What You'll Learn

Create a simple Simulink model variable representing system parameters

Add a configuration variable for code generation settings

Write code to simulate code generation process from the model

Display the generated code output

💡 Why This Matters

🌍 Real World

Engineers use code generation to turn their Simulink models into code that runs on embedded devices like robots, cars, or medical devices.

💼 Career

Understanding this process is important for roles in embedded systems engineering, control systems design, and automation.

1

Create a Simulink model variable

Create a variable called robot_model as a dictionary with keys 'name' set to 'SimpleRobotControl' and 'parameters' set to another dictionary with 'speed' as 5 and 'direction' as 'forward'.

Simulink

# Your code here

Hint

Use a dictionary with nested dictionary for parameters.

2

Add code generation configuration

Create a variable called codegen_config as a dictionary with key 'target' set to 'embedded_hardware' and key 'optimization' set to 'speed'.

Simulink

robot_model = {
    'name': 'SimpleRobotControl',
    'parameters': {
        'speed': 5,
        'direction': 'forward'
    }
}
# Your code here

Hint

Use a dictionary with keys 'target' and 'optimization'.

3

Simulate code generation process

Create a variable called generated_code that is a string combining the model name and target from robot_model and codegen_config in the format: "Code for {model_name} targeting {target}".

Simulink

robot_model = {
    'name': 'SimpleRobotControl',
    'parameters': {
        'speed': 5,
        'direction': 'forward'
    }
}

codegen_config = {
    'target': 'embedded_hardware',
    'optimization': 'speed'
}

# Your code here

Hint

Use an f-string to combine values from both dictionaries.

4

Display the generated code output

Write a print statement to display the value of generated_code.

Simulink

robot_model = {
    'name': 'SimpleRobotControl',
    'parameters': {
        'speed': 5,
        'direction': 'forward'
    }
}

codegen_config = {
    'target': 'embedded_hardware',
    'optimization': 'speed'
}

generated_code = f"Code for {robot_model['name']} targeting {codegen_config['target']}"

# Your code here

Hint

Use print(generated_code) to show the output.