Simulate Variant Subsystem with Startup Activation Using parsim
This example shows how you can simulate a Variant Subsystem with startup
activation time using parsim
. You can simulate multiple configurations in parallel with the Variant activation time set to startup
using parsim
. Each configuration will have one active variant.
Model
Open the model slexVariantSubsystemsWithParSim
. The model contains a variant subsystem block Controller
with two choices Linear Controller and Nonlinear Controller with the conditions VSS_MODE == 1
and VSS_MODE == 2
respectively. Set the Variant activation time to startup
in the Block Parameters dialog.
open_system('slexVariantSubsystemsWithParSim.slx')
Step 1 - Setup the active variant selection for each variant choice
Setup the active variant selection for each variant choice and set the number of simulations to be equal to the number of variant choices. In this example model, we have two variant choices.
mdl = 'slexVariantSubsystemsWithParSim';
numSims = 2;
varControl = [1,2];
Step 2 - Create the SimulationInput
object
Create the SimulationInput
object for each simulation run and set the variant control value for each run.
in(1:numSims) = Simulink.SimulationInput(mdl); for idx = 1:numSims in(idx) = in(idx).setModelParameter('SimulationMode', 'rapid', ... 'RapidAcceleratorUpToDateCheck', 'on', ... 'SaveTime', 'on', ... 'SaveOutput', 'on'); in(idx) = in(idx).setVariable('VSS_MODE',varControl(idx)); end
Note: If your model has variant configurations defined using Variant Manager for Simulink®, you can use the setVariantConfiguration
function on the Simulink.SimulationInput
object to set the variant configuration to be applied before simulation. With this workflow, there is no need to specify the set of variant control values individually using the setVariable
method to activate a specific variant. For an example, see Run Simulations for Variant Models Using Variant Configurations.
Step 3 - Use parsim
to simulate the model
Use parsim
to simulate the model in parallel for each variant control value.
out = parsim(in, 'ShowProgress', 'on');
[10-Jun-2024 09:01:41] Checking for availability of parallel pool... Starting parallel pool (parpool) using the 'Processes' profile ... 10-Jun-2024 09:02:59: Job Queued. Waiting for parallel pool job with ID 1 to start ... 10-Jun-2024 09:04:00: Job Queued. Waiting for parallel pool job with ID 1 to start ... Connected to parallel pool with 6 workers. [10-Jun-2024 09:04:33] Starting Simulink on parallel workers... [10-Jun-2024 09:05:24] Configuring simulation cache folder on parallel workers... [10-Jun-2024 09:05:25] Loading model on parallel workers... [10-Jun-2024 09:05:44] Running simulations... [10-Jun-2024 09:09:04] Completed 1 of 2 simulation runs [10-Jun-2024 09:09:04] Received simulation output (size: 21.10 KB) for run 1 from parallel worker. [10-Jun-2024 09:09:04] Completed 2 of 2 simulation runs [10-Jun-2024 09:09:04] Received simulation output (size: 21.10 KB) for run 2 from parallel worker. [10-Jun-2024 09:09:04] Cleaning up parallel workers...
You can simulate the model using parsim
with SetupFcn
. This is optional. If you run parsim
without SetupFcn
, set the RapidAcceleratorUpToDateCheck
to on
.
out = parsim(in, 'ShowProgress', 'on', 'SetupFcn', @() slexVariantSubsystemsWithParSim_script_setup(mdl));
The setup script, slexVariantSubsystemsWithParSim_script_setup.m
builds the rapid acceleration target for the model.
Step 4 - Plot the output values
Now plot the results from each run.
for i = 1:numSims simOut = out(i); t = simOut.tout; y = simOut.yout; plot(t, y) hold all end