Accelerate, Refine, and Test Hybrid Dynamic System on Host Computer by Using RSim System Target File
After you create a model, you can use the rapid simulation (RSim) target to characterize model behavior. The executable program that results from the build process is for non-real-time execution on your development computer. The executable program is highly optimized for simulating models of hybrid dynamic systems, including models that use variable-step solvers and zero-crossing detection. The speed of the generated code makes the RSim system target file ideal for building programs for batch or Monte Carlo simulations.
The rapid simulation (RSim) system target file (
rsim.tlc) will be
removed in a future release.
To speed up simulations, use the Simulink® Rapid Accelerator simulation mode. Rapid Accelerator simulation mode provides the same functionality as the RSim system target file, but is easier to use. See Design Your Model for Effective Acceleration.
To deploy standalone simulations outside of the MATLAB® and Simulink environment, use the Simulink Compiler™. The Simulink Compiler provides a turnkey solution for building and sharing simulations as standalone executables that package a compiled Simulink model with MATLAB code that sets up, runs, and analyzes model simulations. See Comparing Simulink Coder and Simulink Compiler (Simulink Compiler).
About Rapid Simulation
Use the RSim system target file to generate an executable program that runs fast, standalone simulations. You can repeat simulations with varying data sets, interactively or programmatically with scripts, without rebuilding the model. This can accelerate the characterization and tuning of model behavior and code generation testing.
Using command-line options:
Define parameter values and input signals in one or more MAT-files that you can load and reload at the start of simulations without rebuilding your model.
Redirect logging data to one or more MAT-files that you can then analyze and compare.
Control simulation time.
Specify external mode options.
To run an RSim executable program, configure your computer to run MATLAB and have the MATLAB and Simulink installation folders accessible.
Rapid Simulation Advantage
The advantage that you gain from rapid simulation varies. Larger simulations achieve speed improvements of up to 10 times faster than standard Simulink simulations. Some models might not show noticeable improvement in simulation speed. To determine the speed difference for your model, time your standard Simulink simulation and compare the results with a rapid simulation. In addition, test the model simulation in Rapid Accelerator simulation mode.
General Rapid Simulation Workflow
Like other stages of Model-Based Design, characterization and tuning of model behavior is an iterative process, as shown in this workflow diagram. Tasks in the workflow are:
Identify Rapid Simulation Requirements
The first step to setting up a rapid simulation is to identify your simulation requirements.
|Question...||For More Information, See...|
|How long do you want simulations to run?||Configure and Build Model for Rapid Simulation|
|Are there solver requirements? Do you expect to use the same solver for which the model is configured for your rapid simulations?||Configure and Build Model for Rapid Simulation|
|Do your rapid simulations need to accommodate flexible custom code interfacing? Or, do your simulations need to retain storage class settings?||Configure and Build Model for Rapid Simulation|
|Will you be running simulations with multiple data sets?||Set Up Rapid Simulation Input Data|
|Will the input data consist of global parameters, signals, or both?||Set Up Rapid Simulation Input Data|
|What type of source blocks provide input data to the model — From File, Inport, From Workspace?||Set Up Rapid Simulation Input Data|
|Will the model's parameter vector
(||Create a MAT-File That Includes a Model Parameter Structure|
|What is the data type of the input parameters and signals?||Set Up Rapid Simulation Input Data|
|Will the source data consist of one variable or multiple variables?||Set Up Rapid Simulation Input Data|
|Does the input data include tunable parameters?||Create a MAT-File That Includes a Model Parameter Structure|
|Do you need to gain access to tunable parameter information — model checksum and parameter data types, identifiers, and complexity?||Create a MAT-File That Includes a Model Parameter Structure|
|Will you have a need to vary the simulation stop time for simulation runs?||Configure and Build Model for Rapid Simulation andOverride a Model Simulation Stop Time|
|Do you want to set a time limit for the simulation? Consider setting a time limit if your model experiences frequent zero crossings and has a small minor step size.||Set a Clock Time Limit for a Rapid Simulation|
|Do you need to preserve the output of each simulation run?||Specify a New Output File Name for a Simulation and Specify New Output File Names for To File Blocks|
|Do you expect to run the simulations interactively or in batch mode?||Create Scripts for Batch and Monte Carlo Simulations|
Configure Inports to Provide Simulation Source Data
You can use Inport blocks as a source of input data for rapid simulations. To do so, configure the blocks so that they can import data from external MAT-files. By default, the Inport block inherits parameter settings from downstream blocks. In most cases, to import data from an external MAT-file, you must explicitly set these block parameters to match the source data in the MAT-file.
Main > Interpolate data
Signal Attributes > Port dimensions
Signal Attributes > Data type
Signal Attributes > Signal type
If you do not have control over the model content, you might need to modify the data in the MAT-file to conform to what the model expects for input. Input data characteristics and specifications of the Inport block that receives the data must match.
For details on adjusting these parameters and on creating a MAT-file for use with an Inport block, see Create a MAT-File for an Inport Block. For descriptions of the preceding block parameters, see Inport.