Implementation software for running models on dSPACE hardware
- Automatic implementation of MATLAB®/Simulink®/Stateflow® models on dSPACE hardware
- Automatic code generation
- Graphical I/O configuration via comprehensive Simulink block libraries
- Support for model referencing1)
No matter whether you are performing rapid control prototyping or hardware-in-the-loop simulation: Real-Time Interface (RTI) is the link between dSPACE hardware and the development software MATLAB/Simulink/Stateflow from The MathWorks.
RTI lets you concentrate fully on the actual design process and carry out fast design iterations. It extends Simulink® Coder™ (formerly Real-Time Workshop® and Stateflow® Coder™) for the seamless, automatic implementation of your Simulink and Stateflow models on the real-time hardware. The implementation time is greatly reduced. The hardware configuration for the real-time application is guided by automatic consistency checks to prevent parameterization errors. For maximum flexibility, each RTI version supports several different MATLAB releases (see Compatibility). Models from most previous MATLAB and RTI releases are migrated automatically when newer versions of RTI are used.
Working with RTI
To connect your model to a dSPACE I/O board, just drag & drop the I/O module from the RTI block library and then connect it to the Simulink blocks. All settings, such as parameterization, are available by clicking the appropriate blocks. Real- Time Workshop generates the model code while RTI provides blocks that implement the I/O capabilities of dSPACE systems in your Simulink models. Your real-time model is compiled, downloaded, and started automatically on your real-time hardware, without you having to write a single line of code. RTI guides you during the configuration. RTI provides consistency checks, so potential errors can be avoided.
RTI handles any kind of continuous-time, discrete-time, hybrid, and multirate system. Depending on the I/O hardware, different channels of the same I/O board can be used with different sample rates, and even in different subsystems. RTI supports asynchronous events and lets you set task priorities and task overrun strategies for executing the interrupt-driven subsystems. It also supports time-triggered tasks and timetables, which allow you to implement tasks and groups of tasks with variable or predefined delay times in relation to an associated trigger event. This makes task handling in your model very flexible.
1) Please contact dSPACE for information on features and limitations.