To configure code generation settings for Embedded Coder, you use the MATLAB Coder project user interface or the Simulink Model Explorer. You can also configure each setting directly using MATLAB commands and scripts.
From the MATLAB Coder project user interface, you can:
From the Simulink Model Explorer, you can:
For a MATLAB configuration object, you specify one of the following output targets:
For a Simulink system target file, you specify the real-time environment on which your generated code will run. Embedded Coder includes target files for several ready-to-run configurations, and supports third-party and custom targets as well. Built-in targets include:
Embedded Real-Time Target — Generates ANSI/ISO C, C++, and encapsulated C++ code with floating-point and fixed-point data for efficient real-time execution on virtually any production processor
AUTOSAR Target — Generates C code and run-time interfaces that support development of AUTOSAR software components
Shared Library Target — Generates a shared library version of your code for host platform execution, either as a Windows® dynamic link library (.dll) file or a UNIX® shared object (.so) file
IDE Link Target — Generates code for compilation and deployment using a supported third-party integrated development environment (IDE) such as Texas Instruments’ Code Composer Studio
For MATLAB or Simulink code generation, you select the deployment processor from a predefined list or use generic target settings. You can also extend the predefined list for your custom environment.
Embedded Coder enables you to define and control how the model data appears in the generated code. To facilitate software integration, you can specify class, size, and complexity of MATLAB data with the MATLAB Coder project user interface for entry point functions and global data.
For MATLAB code, Embedded Coder supports all MATLAB Coder data definitions including fixed-point objects.
For Simulink models, Embedded Coder supports the following data specification and data dictionary capabilities for generating code:
Simulink data object — Provides predefined storage classes, including constant, volatile, exported global, imported global, define directive, structure, bit field (including bit-packed structure), and get and set access methods
Module packaging data object — Provides preconfigured attributes for advanced data objects typically used in mass production, such as memory segments to calibrate or tune lookup tables
User data type — Lets you create abstract types for complex data so you can precisely control how model data appears in the generated code, interface with any legacy data, and augment or replace Simulink built-in types
The following tools help you design and manage project data in Simulink:
Custom Storage Class Designer — Lets you graphically create custom definitions and declarations to import data structures into the generated code, export data, conserve memory, or automatically generate data compliant with exchange standards, such as ASAM or ASAP2
Simulink Model Explorer — Displays all data used by Simulink models and Stateflow® charts and provides customizable views so you can tailor the information in a data dictionary format
Embedded Coder gives you access to ASAP2 data exchange files in Simulink, enabling you to export model data with complex data definitions using the ASAP2 standard. You can modify the built-in capabilities to produce other data exchange mechanisms.
Using Embedded Coder, you can control function boundaries, preserve expressions, and apply optimizations on multiple blocks to further reduce code size. Data is exchanged with the generated code via global variables or function arguments. You can trace the generated code to blocks and signals in your model.
Additional Embedded Coder optimization and configuration options are available for Simulink models, enabling you to:
With Simulink, Embedded Coder also provides the ability to insert high-level requirements as code comments with links to the requirement source (requires Simulink Verification and Validation™) The code report for Simulink code generation also includes a code interface description, traceability report, and display of generated source files and code. Bidirectional links exist between the model and generated code, making it easy to navigate between every line of code and its corresponding Simulink model element, including subsystems, blocks, MATLAB functions and code, and Stateflow charts and transitions. You can click a link to highlight the corresponding model element or line of code, facilitating code reviews and debugging.
Embedded Coder enables you to incorporate generated code into your code execution environment.
With MATLAB, the code generated from Embedded Coder executes using the same execution framework as provided by MATLAB Coder.
With Simulink, Embedded Coder significantly extends the real-time execution framework provided by Simulink Coder. By default, the code can be executed with or without a real-time operating system (RTOS) and in single-tasking, multitasking, or asynchronous mode. You can also verify the code execution results using software-in-the-loop (SIL) and processor-in-the-loop (PIL) testing.
Embedded Coder generates an extensible main program based on information you provide for deploying the code in your real-time environment. This capability lets you generate and build a complete customized executable from your model.
Embedded Coder generates single-rate or multirate code using periodic sample times specified in the model. For multirate, multitasking models, it employs a strategy called rate grouping that generates separate functions for the base rate task and for each sub-rate task in the model.
Automated deployment, integration, optimization, and execution of generated code is available for supported third-party IDEs, microprocessors, and RTOSs, including Wind River Systems® VxWorks®.
Embedded Coder automates execution of generated code in Simulink for SIL testing or on the embedded target for PIL testing using Simulink simulation modes or S-function blocks. Code generation verification APIs help automate test execution and comparison of test results to simulation results from the original model. Integration with third-party tools enables structural code coverage analysis to measure test completeness. Code profiling analysis provides execution time on host or target processors.