how to run simulink simulation from matlab script

hello i need to run simulink simulation from matlab, how to do it using matlab command in script ?

Answer 1

[User_in_Gim]

Hi,

You can use sim command line to simulate your model : doc sim.

sim('Model_Name',Simulation_Time) % most basic way to simulate with command script.

[tomer polsky]

thank u very much my friend , u really helped . keep up the good work !!!

[samet gul]

Thank you so much.

[Nicholas Miraglia]

Thanks, this is a helpful tip.

[Sara Nadeau]

If you're calling the sim function in a script, you probably want to assign the result to an output argument so you can access the simulation results.

out = sim(mdl);

Here's a link to the doc page: https://www.mathworks.com/help/simulink/slref/sim.html

[mahmud]

give cod

Answer 2

[Reid Spence]

A prefered way to run a simulation from MATLAB is to use the SimulationInput object.

simIn = Simulink.SimulationInput("Model_Name"); %create object
simIn = simIn.setVariable("my_Parameter",2); %example of setting a parameter override
out = sim(simIn); %run simulation, all results returned in "out"

The benifits of using the SimulationInput object over using ">sim("model_name")" include:

• ability to override parameters and settings without dirtying the model
• a helpful container for all run specific overrides
• easier transitions to other workflows such as parallel simulation with parsim or deployment with Simulink Compiler

Answer 3

[marcus sick]

A recommended approach for executing simulations in MATLAB involves leveraging the SimulationInput object.

simIn = Simulink.SimulationInput("Model_Name i.e (YT3converter)"); % Create object simIn = simIn.setVariable("my_Parameter", 2); % Example of setting a parameter override out = sim(simIn); % Run simulation; all results are returned in "out"

The advantages of utilizing the SimulationInput object over the conventional method ">sim("model_name")" are manifold:

• It enables parameter and setting overrides without modifying the model directly, ensuring model cleanliness and preserving its integrity.
• Serving as a convenient container, it organizes all simulation-specific overrides, enhancing clarity and manageability.
• Facilitates seamless transitions to alternative workflows like parallel simulation with parsim or deployment via Simulink Compiler, thus fostering versatility and adaptability in simulation practices.