how to run simulink simulation from matlab script

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tomer polsky
tomer polsky el 16 de Mzo. de 2017
Respondida: marcus sick el 13 de Mzo. de 2024
hello i need to run simulink simulation from matlab, how to do it using matlab command in script ?

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User_in_Gim
User_in_Gim el 16 de Mzo. de 2017
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.
  5 comentarios
Sara Nadeau
Sara Nadeau el 19 de Abr. de 2023
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);
mahmud
mahmud el 13 de Mzo. de 2024
give cod

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Reid Spence
Reid Spence el 22 de En. de 2024
Editada: Reid Spence el 22 de En. de 2024
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

marcus sick
marcus sick el 13 de Mzo. de 2024
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.

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