how to run simulink simulation from matlab script

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tomer polsky
tomer polsky el 16 de Mzo. de 2017
Comentada: Benjia el 23 de Jul. 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.
  6 comentarios
mahmud
mahmud el 13 de Mzo. de 2024
give cod
Benjia
Benjia el 23 de Jul. de 2024
Does the simulink model need to be open if we use this way?

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Más respuestas (3)

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

Guy Rouleau
Guy Rouleau el 9 de Jul. de 2024

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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