Control Simulations with Interactive Displays

Interactively control and verify output from simulations using dashboard blocks

Create an interactive display of controls and displays within your model diagram using blocks from the Dashboard library. Connect block parameters to control blocks (knobs, buttons, and switches) and signals to displays blocks (scopes and gauges).

Blocks

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Displays

Dashboard Scope	Trace signals during simulation
Display	Display signal value during simulation
Custom Gauge	Display an input value on a customized gauge
Gauge	Display input value on circular scale
Half Gauge	Display input value on semicircular scale
Linear Gauge	Display input value on linear scale
Quarter Gauge	Display input value on quadrant scale
Lamp	Display color reflecting input value
MultiStateImage	Display image reflecting input value

Interactive Controls

Edit	Enter new value for parameter
Knob	Tune parameter value with dial
Slider	Tune parameter value with sliding scale
Push Button	Set value of parameter when button is pressed
Rotary Switch	Switch parameter to set values on dial
Radio Button	Select parameter value
Combo Box	Select parameter value from drop-down menu
Check Box	Select parameter or variable value
Rocker Switch	Toggle parameter between two values
Slider Switch	Toggle parameter between two values
Toggle Switch	Toggle parameter between two values
Callback Button	Execute MATLAB code based on user input

Classes

`Simulink.SimulationData.Parameter`	Stores logged parameter data and metadata
`Simulink.HMI.InstrumentedSignals`	Access logged signals in model
`Simulink.HMI.SignalSpecification`	Information for logging a signal
`Simulink.HMI.ParamSourceInfo`	Information about Dashboard block variable and parameter connections

Topics

Tune and Visualize Your Model with Dashboard Blocks

Use blocks in the Dashboard block library to visualize and interact with your model.

Decide How to Visualize Simulation Data

Explains how to display your output directories.

Featured Examples

Modeling a Fault-Tolerant Fuel Control System

Combine Stateflow® with Simulink® to efficiently model hybrid systems. This type of modeling is particularly useful for systems that have numerous possible operational modes based on discrete events. Traditional signal flow is handled in Simulink while changes in control configuration are implemented in Stateflow. The model described below represents a fuel control system for a gasoline engine. The system is highly robust in that individual sensor failures are detected and the control system is dynamically reconfigured for uninterrupted operation.

Open Model