This example walks you through the workflow of creating a simulation app in App Designer and using Simulink® Compiler™ to deploy it. The example explains the code that is used to build the app.
To open the example, type the following in the MATLAB® command window, or click the View MATLAB Code button.
In this example, we use an app that is prepared in the App Designer and deploy it with Simulink Compiler.
Open and Explore Model
In this example, we use the model of a mass springer damper system. The mass-spring-damper model consists of discrete mass nodes distributed throughout an object and interconnected via a network of springs and dampers. This model is well-suited for modelling object with complex material properties such as non-linearity and elasticity. In this example we use the mass spring damper system. The system is parametrized by mass (m), spring stiffness (k), damping (b) and the initial position (x0). The input to the system is the applied force.
To explore this model with different values of the tunable parameters, create the following model workspace variables:
Mass - m.
Spring stiffness - k.
Damping - b.
Initial position - xo.
To create the model workspace variables, go to the Modelling tab and select Model Workspace in the Data Repositories in the Design section. Use the Add MATLAB Variables icon to add the above four variables. Add the appropriate initial values, for example, 3, 128, 2 and 0.5 respectively.
Create the App in App Designer
Use the MATLAB APP Designer to create an app to simulate the model with different parameter values and input signals. To learn more about how to create an app using the App Designer, see Create and Run a Simple App Using App Designer Use the
MassSpringDamperApp.mlapp file to use the app.
The main part for the app is the simulate button callback function. It has the following salient parts: setup the
SimulationInput object, configure it for deployment, simulate, and plot the simulation results.
The functionality of the application to change and experiment with the tunable parameters is defined in the callback function
SimulateButtonPushed. This callback function enables you to change,experiment and analyze different simulations by modifying the values in the app designer.
SimulateButtonPushed Callback Function Code
This section explains the code written to create the app,
MassSpringDamperApp. The callback function
SimulateButtonPushed is called in the app designed in the App Designer. This callback function defines how the model is simulated. We use the
Simulink.SimulationInput object to set the variables to the model and use these variables to change the values and analyze the model.
Simulink.SimulationInput Object in the
SimulateButtonPushed function, create a
SimulationInput object, SimInp for the model
MassSpringDamperModel. Use the
setModelParameters method on the
SimulationInput object. In this example, we set the
StopTime model parameter for the simulation.
Set the Values of the Tunable Parameters and the Input Signal
To set the input signal to the model, use the
ExternalInput property of the
simInp. Use the
setVariables method to set the values of the four tunable parameters. Create the force input signal and set it as the
ExternalInput in the simulation input object.
Configure for Deployment
Now that we have assigned all the values to the variables and set the input signal, the
Simulink.SimulationInput object is required to be configured for deployment. Use the
simulink.compiler.configureForDeployment function of Simulink Compiler. This function handles all the settings required for the script to be compatible for deployment by setting the simulation mode to rapid accelerator, and by setting the parameter
Simulate and Plot the Results
Use the configured Simulink.SimulationInput object to run the simulation with the
sim command. Plot the results from the simulation using the
Test Out the Application in App Designer
Before deploying the application, ensure that the app runs in the App Designer. Click the Simulate button on the app to verify that the application works by simulating the model for different values.
Compile Script for Deployment
To compile the app, use the
mcc command, followed by the script name.
mcc -m MassSpringDamperApp.mlapp
To run the deployed executable, you need an appropriate runtime environment. For more information, see MATLAB Runtime.
Ensure that the path environment variable is free of other instances of MATLAB Runtime from previous installs. If there are any, remove them.
To install MATLAB Runtime, follow the instructions on Install and Configure the MATLAB Runtime.
Compile the deployable for the first time as follows:
deploytool command in the MATLAB Command Window and
select Application Compiler.
In the Main File section, add the file to be deployed,
In the Packaging Options section on the toolstrip, select
Runtime included in package and enter the
deployed_installer in the text box.
Click Package in the Package section of the toolstrip.
Once the package is ready, use the
deployed_installer in the
for_redistribution folder to install the proper runtime
environment for running the deployed application.
You can run the deployed script only on the platform that the deployed script was developed on.
It is recommended to run the deployed application from the Windows Command Prompt. Running the deployed application from the command prompt also enables the script to print errors when something is wrong in the deployed application. These errors can help troubleshoot the problem.
errordlg is not supported on Web