This section provides a comprehensive, step-by-step guide to the essential Simulink lifecycle. The workflow of building a model, running a simulation, and exporting the results for analysis represents the foundational skill set for all Simulink users. Mastering this three-stage process is critical for leveraging the platform’s full potential.

4.1 Step 1: Model Construction

Model construction is the visual programming phase where you assemble and configure blocks on the model canvas to represent your system.

4.1.1 Adding and Positioning Blocks

There are two primary methods for adding blocks to the model canvas:

1. Drag and Drop: Open the Library Browser, navigate to the desired block, and drag it directly onto the canvas.
2. On-Canvas Search: Click anywhere on the blank canvas and begin typing the name of the block (e.g., “Sine Wave”). A search menu will appear, allowing you to select and place the block quickly.

4.1.2 Connecting Blocks with Lines

Lines in Simulink represent the flow of data (signals) between blocks. They are drawn to connect an output port of one block to an input port of another. To create a connection, hover your cursor over a port until it becomes a crosshair, then click and drag a line to the destination port. For example, to add two numbers, you would connect the output ports of two Constant blocks to the two input ports of an Add block. The output of the Add block can then be connected to the input of a Display block to show the result.

4.1.3 Configuring Block Parameters

Most blocks have configurable parameters that define their behavior. To modify these, right-click a block and select “Block Parameters” (or simply double-click the block). This opens a dialog box where you can adjust settings. For instance:

• You can change the number of input ports on a Scope block to visualize multiple signals simultaneously.
• For a Sine Wave block, you can specify parameters such as Amplitude and Frequency to define the output signal’s characteristics.

4.2 Step 2: Running the Simulation

Once the model is constructed and configured, you can execute it by clicking the green Run button in the Simulink toolbar. Simulink will solve the model numerically over the specified simulation time.

The results of the simulation are observed through the Sinks blocks included in the model. For example, after running the model that adds two constants with values of 10 and 20, the Display block will show the calculated sum, 30. Similarly, a Scope block connected to a signal source will open a window plotting the signal’s waveform over time.

4.3 Step 3: Exporting Simulation Data to MATLAB

For more detailed analysis, it is often necessary to export simulation data to the MATLAB workspace. This process allows you to use MATLAB’s powerful data analysis and visualization functions.

The procedure for logging simulation data is as follows:

1. Navigate to the model’s configuration properties and select the Logging tab.
2. In the logging panel, enable the Log data to workspace checkbox.
3. Define a Variable name (e.g., swave) and set the Save format (e.g., to Array).
4. Run the simulation again. This action creates a new structure variable in the MATLAB workspace, which by default is named out. The data you logged is stored as a field within this structure, using the variable name you specified.

Once exported, the data is immediately accessible. To access the logged data, you use dot notation (e.g., out.swave). For example, to plot the exported sine wave data, you would use:

plot(out.swave)

This core workflow forms the basis for all modeling activities, providing a repeatable process for moving from a conceptual design to quantitative results and analysis.