setBlockParameter - Set block parameter values for simulation using

            SimulationInput or Simulation
        object - MATLAB ([original](https://www.mathworks.com/help/simulink/slref/simulink.simulationinput.setblockparameter.html)) ([raw](?raw))

Set block parameter values for simulation usingSimulationInput or Simulation object

Syntax

Description

[s](#mw%5Fe7bee5c2-3826-4a61-a41b-97081a23acaf) = setBlockParameter([s](#mw%5Fe7bee5c2-3826-4a61-a41b-97081a23acaf),[blkpath](#bvqkv10-BlockPath),[blkparam](#bvqkv10-ParameterName),[paramval](#mw%5F2eeb4751-fe33-44d5-a7ec-9411520b34fc)) specifies the value of the block parameter blkparam asparamval for block blkpath on theSimulink.SimulationInput or Simulation object s.

You can use the setBlockParameter function to specify parameter values on a SimulationInput orSimulation object for any block throughout a model hierarchy. The parameter values you specify override the values saved in the model for simulations you run using the SimulationInput orSimulation object during simulation and are reverted when the simulation completes. You can use a SimulationInput orSimulation object to override any number of parameter values.

Note

The setBlockParameter function is not supported for rapid accelerator simulations that disable the rapid accelerator up-to-date check or for deployment. To modify block parameter values in these simulations, use a variable to specify the block parameter value, and then use the setVariable function to specify the variable value.

example

Examples

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Modify a block parameter for a simulation using aSimulink.SimulationInput object.

Open the model

mdl = "sldemo_househeat"; openExample("simulink_general/sldemo_househeatExample",... SupportingFile=mdl)

Create a SimulationInput object for this model.

simin = Simulink.SimulationInput(mdl);

Modify block parameter value.

simin = setBlockParameter(simin,"sldemo_househeat/Set Point",... Value="300");

Simulate the model.

Modify multiple block parameter values for a simulation using a Simulink.SimulationInput object.

Open the model

mdl = "vdp"; openExample("simulink_general/VanDerPolOscillatorExample",... SupportingFile=mdl)

Create a SimulationInput object for this model.

simin = Simulink.SimulationInput(mdl);

Modify the Gain parameter value for the Mu block and the position of the Product block.

simin = setBlockParameter(simin,"vdp/Mu","Gain","0.5",... "vdp/Product","Position",[50 100 110 120]);

Simulate the model.

Input Arguments

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Simulation specification or simulation in which to set block parameter, specified as a Simulink.SimulationInput object or a Simulation object.

A SimulationInput object represents a simulation specification that includes the initial state, external inputs, model parameter values, block parameter values, and variable values to use in the simulation. When you specify the first input argument as aSimulationInput object:

The Simulation object represents a simulation and provides an interface for controlling and interacting with the simulation. When you specify the first input argument as a Simulation object:

Example: simin = setBlockParameter(simin,"vdp/Mu","Gain","0.1") specifies theGain parameter value for the block namedMu in the model named vdp as0.1 in the simulation configuration stored on theSimulationInput objectsimin.

Example: sm = setBlockParameter(sm,"vdp/Mu","Gain","0.1") specifies theGain parameter value for the block namedMu in the model named vdp as0.1 in the simulation represented by theSimulation object sm.

Path to block for which to specify parameter value, specified as a string or a character vector.

Example: simin = setBlockParameter(simin,"vdp/Mu","Gain","0.1") specifies theGain parameter value for the block namedMu in the model named vdp as0.1 in the simulation configuration stored on theSimulationInput objectsimin.

Example: sm = setBlockParameter(sm,"vdp/Mu","Gain","0.1") specifies theGain parameter value for the block namedMu in the model named vdp as0.1 in the simulation represented by theSimulation object sm.

Name of block parameter to set, specified as a string or a character vector.

Example: simin = setBlockParameter(simin,"vdp/Mu","Gain","0.1") specifies theGain parameter value for the block namedMu in the model named vdp as0.1 in the simulation configuration stored on theSimulationInput objectsimin.

Example: sm = setBlockParameter(sm,"vdp/Mu","Gain","0.1") specifies theGain parameter value for the block namedMu in the model named vdp as0.1 in the simulation represented by theSimulation object sm.

Block parameter value, specified as a valid value for the specified block parameter. Many block parameters, such as the Gain parameter of the Gain block, require specifying the parameter value as a string or a character vector, including for numeric block parameter values.

Example: simin = setBlockParameter(simin,"vdp/Mu","Gain","0.1") specifies theGain parameter value for the block namedMu in the model named vdp as0.1 in the simulation configuration stored on theSimulationInput objectsimin.

Example: sm = setBlockParameter(sm,"vdp/Mu","Gain","0.1") specifies theGain parameter value for the block namedMu in the model named vdp as0.1 in the simulation represented by theSimulation object sm.

Output Arguments

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Simulation specification or simulation with block parameter added or modified, returned as a Simulink.SimulationInput object or a Simulation object.

When you use the setBlockParameter function to specify the value of a block parameter on a SimulationInput object, you must specify the SimulationInput object as the return argument.

When you use the setModelParameter function to specify the value of a block parameter on a Simulation object, assigning the return argument is optional.

Tips

Version History

Introduced in R2017a

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The Simulation object represents a simulation and provides an interface to control simulation execution and tune model parameter, block parameter, and variable values during simulation. You can use the setBlockParameter, getBlockParameter, and removeBlockParameter functions to configure block parameter values for a single simulation and tune variable values during simulation.