This example shows how to set up the architecture for a small unmanned aerial vehicle, composed of six top-level systems. You also learn how to refine your architecture design by authorizing interfaces, linking to requirements, defining profiles and stereotypes, and running analysis on such an architecture model.
Open the project:
[projectFolder, ~] = matlab.internal.project.example.projectDemoSetUp(... fullfile(matlabroot,'toolbox','systemcomposer','examples','SmallUAV.zip'),,true); simulinkproject(projectFolder);
Each system is decomposed into its components. Navigate through the hierarchy to view the composition for each component. The root component, SmallUAV, has input and output ports that represent data exchange between the system and its environment.
You define interfaces in a local data dictionary. Turn on the Interface Editor to view the interfaces. Click the GS Commands port on the architecture model to highlight the architecture_gsCommands interface and indicate the assignment.
Components in the architecture model link to system requirements defined in
smallUAVReqs.slreqx . Open the Requirements Perspective for the model. Select components to see the requirement they link to, or, conversely, select items in the Requirements view to see which components implement them.
To complete specifications and enable analysis later in the design process, stereotypes add custom metadata to architecture model elements. This model has stereotypes for these elements:
On-board element, applicable to components
RF connector, applicable to ports
RF wiring, applicable to connectors
Stereotypes are defined in XML files called profiles. The profile
UAVComponent.xml is attached to this model. You can edit a profile using the Profile Editor.
An Analysis Model can be produced from this specification model for the purpose of running static analyses on this system. An Analysis Model is a tree of instances generated from the elements of the specification model in which all referenced models are flatted, and all variants are resolved.
Run a mass rollup on this model. In the dialog, select the stereotypes that you want to include in your analysis. Select the analysis function by browsing to
utilities/massRollUp.m. Set the model iteration mode to Bottom-up and click Instantiate.
The analysis function iterates through model elements bottom up, assigning the Mass property of each component as a sum of the Mass properties of its subcomponents. The overall weight of the system is assigned to the Mass property of the top level component, SmallUAV.