Entwickeln von Blockmasken
Mithilfe von Simulink® können Sie Blockmasken erstellen. Eine Maske ist eine benutzerdefinierte Schnittstelle für einen Block.
Durch das Maskieren eines Blocks kapseln Sie das Blockdiagramm, um ein eigenes Parameterdialogfeld mit einer eigenen Blockbeschreibung, Parameterabfragen und Hilfetexten zu erhalten.
Sie können einen unabhängigen benutzerdefinierten Block maskieren, den Sie als eindeutigen Block wiederverwenden können, wie die in Simulink definierten Blöcke.
Weitere Informationen zum Erstellen von Blockmasken finden Sie unter Create a Simple Mask.
Klassen
Themen
Einführung zu Masken
- Masking Fundamentals
Learn the basics about masking and when to mask blocks. - Create a Simple Mask
You can mask a block interactively by using the Mask Editor or mask it programmatically. - Manage Existing Masks
View or edit an existing block mask.
Benutzeroberfläche des Maskeneditors
- Mask Editor Overview
Create and customize masks using the Mask Editor interface. - Specify Data Types for an Edit Parameter Using Data Type Parameter
You can specify the acceptable data types for a mask edit parameter with a data type parameter. - Design a Mask Dialog Box
Try this example to create a mask dialog box and understand the use of some Mask Editor features. - Handling Large Number of Mask Parameters
Add large number of mask parameters in a Table programmatically. - Customize Tables for Masked Blocks
Add custom tables to mask dialog box. - Control Custom Table Programmatically
Use a programmatic interface to control custom tables. - Control Masks Programmatically
Simulink® defines a set of APIs that help in setting and editing masks.
Maskierungsfunktionen
- Validating Mask Parameters Using Constraints
Add validation to mask parameters using constraints. - Custom Constraint for Mask Parameter
A mask can contain parameters that accept user input values. - Share Parameter Constraints Across Multiple Block Masks
This example shows how to create a parameter constraint and share it across masks of different blocks in the same model or different models. - Validate Input and Output Port Signals Using Port Constraints
You can validate compile-time signal attributes on the input and output ports of a masked block by using port constraints. - Validate Port Signals Among Ports of the Same Masked Block
This example shows how to create cross port constraints to validate compile-time signal attributes among ports of the same masked block. - Share Port Constraints Across Multiple Masked Blocks
This example shows how to create a port constraint and share it across masks of different blocks in the same model or different models. - Mask Callback Code
Add and execute mask callback code. - Introduction to Mask Initialization and Parameter Callback Code
Use MATLAB® code to initialize a block mask. - Promote Block Parameters on a Mask
Blocks and subsystems can have multiple parameters associated with them. - Pass Values to Blocks Under the Mask
Specify input values using the mask dialog box. - Mask Linked Blocks
Add custom interface to linked blocks. - Approaches to Control Active Variant Choice of a Variant Block Using Mask or Model Workspace
This example shows different approaches to control the active choice of inline variant and Variant Subsystem blocks from a mask or a model workspace. - Define Measurement Units for Masked Blocks
Set measurement units for output and input ports of a masked block. - Add Images in Masks
Add images as mask icons and save them in the SLX file. - Create Hierarchical List in Mask Dialog
Create a hierarchical list of data on a mask. - Tune Mask Enumeration Parameters - Popup and Radio Button
Reference external enumeration file to assign numerical values to popup parameter. - Visualize and Plot N-Dimensional Data Using Mask Lookup Table Control
Use a lookup table to evaluate a sampled representation of a function using simple lookup operations. - Preserve Tunability of Parameters That Are Modified or Created in Mask Initialization
A desirable feature of code generated from a model is the ability to tune variables to different values.
Grafischer Icon-Editor
- Graphical Icon Editor Overview
Create and edit mask icon of a block in a graphical environment. - Create and Edit Block Mask Icon
Create block mask icon using Graphical Icon Editor and Mask Drawing commands. - Add Dynamic Behavior to Masked Icons
You can add dynamic behavior to masked icons using Graphical Icon Editor.
Masken-Callbacks
- Introduction to Mask Initialization and Parameter Callback Code
Use MATLAB code to initialize a block mask. - Author Mask Initialization and Callbacks
You can write MATLAB code in the code pane of the Mask Editor for mask initialization and callbacks. - Organize Mask Initialization and Callbacks in a MATLAB File
You can organize mask initialization and mask callback code in a separate MATLAB® class file. - Dynamic Mask Dialog Box
You can create dialog boxes for masked blocks whose appearance changes in response to user input. - Dynamic Masked Subsystem
Create masked library blocks that can modify their structural contents. - Debug Masks That Use MATLAB Code
Troubleshoot errors in the mask initialization code.
Systemmaske
- Introduction to System Mask
Learn about masking a model. - Control Masks Programmatically
Simulink® defines a set of APIs that help in setting and editing masks. - Create and Reference a Masked Model
Mask a model interactively. - Create and Display System Mask Programmatically
You can apply a system mask to a model or a subsystem block diagram.
Beispiel-Modelle
- Masking Example Models
View Simulink models that demonstrate masking capabilities.
Verwandte Informationen
Enthaltene Beispiele
Promote Block Parameters on a Mask
Blocks and subsystems can have multiple parameters associated with them. Block masks allow you to expose one or more of these parameters while hiding others from view. You can promote any underlying parameter of a block either to a block mask or to a subsystem mask. For any subsystem, you have a single view of all the nested blocks, the block parameters, and internal parameters. You can click any node to access any promotable parameter within the nested blocks. By promoting parameters from the block dialog box to the mask you can:
Tune Mask Enumeration Parameters - Popup and Radio Button
Reference external enumeration file to assign numerical values to popup parameter.
Organize Mask Initialization and Callbacks in a MATLAB File
You can organize mask initialization and mask callback code in a separate MATLAB® class file. By using a separate MATLAB file you can:
Validate Port Signals Among Ports of the Same Masked Block
Create cross port constraints to validate compile-time signal attributes among ports of the same masked block. For example, you can set a constraint among the input and output port signals of the masked block to have the same data type. The rules for the cross port constraints are predefined. The available rules are Same Data Type and Same Dimension. Additionally, you can also set parameter conditions. Each port in the masked block is identified by port identifiers. The cross port constraint association is done through port identifiers.
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