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Conversion itérative en virgule fixe dans Simulink
Fixed-Point Tool automatise les tâches de conversion des types de données dans un modèle Simulink®. L’outil collecte des données de plage pour les objets du modèle sur la base de plages de simulation, de plages dérivées ou de plages de conception. Dans le workflow Iterative Fixed-Point Conversion, l'outil propose alors des types de données à virgule fixe qui maximisent la précision et couvrent la plage. Vous pouvez alors passer en revue les types de données proposés et les appliquer de manière sélective aux objets de votre modèle. Si certaines exigences de design ne sont pas remplies, vous pouvez modifier les paramètres de proposition de types de données, visualiser leurs effets et itérer jusqu’à ce que le système réponde à vos exigences.
Pour convertir les types de données de votre modèle en virgule fixe, procédez comme indiqué dans Iterative Fixed-Point Conversion Using the Fixed-Point Tool. Pour consulter un exemple de processus de conversion, voir Convert Floating-Point Model to Fixed Point.
L’objet DataTypeWorkflow.Converter et les fonctions qui lui sont associées constituent une alternative sur ligne de commande à la fonction Iterative Fixed-Point Conversion dans le Fixed-Point Tool.
Outils
| Fixed-Point Tool | Convert a floating-point model to a fixed-point model |
Fonctions
fxptdlg | Open the Fixed-Point Tool |
getUnsupportedFunctionsForSystem | List unsupported functions used by MATLAB Function blocks in the system under design (depuis R2025a) |
Classes
DataTypeWorkflow.Converter | Create fixed-point converter object |
DataTypeWorkflow.findDecoupledSubsystems | Get a list of subsystems to replace with an approximation |
DataTypeWorkflow.ProposalSettings | Proposal settings object for data type proposals |
DataTypeWorkflow.FunctionReplacement | Object to store function replacements (depuis R2025a) |
DataTypeWorkflow.Result | Object containing run result information |
DataTypeWorkflow.VerificationResult | Verification results after converting a system to fixed point |
Rubriques
Présentation du workflow de conversion itérative en virgule fixe
- Data Type Conversion Overview
Convert data types in your model to fixed point in one of three ways. - Best Practices for Fixed-Point Conversion Workflow
Use best practices when converting a model to fixed point. - Iterative Fixed-Point Conversion Using the Fixed-Point Tool
Use the Fixed-Point Tool to convert a system from floating point to fixed point.
- ÉTAPE 1: Prepare System for Conversion
- ÉTAPE 2: Collect Ranges
- ÉTAPE 3: Convert Data Types
- ÉTAPE 4: Verify New Settings
- ÉTAPE 5: Explore Additional Data Types
- Convert Floating-Point Model to Fixed Point
Use the Fixed-Point Tool to convert a floating-point model to fixed point. - The Command-Line Interface for the Fixed-Point Tool
Learn the differences between the command-line interface workflow and the Fixed-Point Tool workflow.
Préparer le système à la conversion
- Use the Fixed-Point Tool to Prepare a System for Conversion
Use the Fixed-Point Tool to check the system under design for compatibility with the conversion process. - Specify Behavioral Constraints
Use signal tolerances and model verification blocks to verify behavior of fixed-point implementation.
Collecter les plages
- Fixed-Point Instrumentation and Data Type Override
Fixed-point instrumentation and data type override settings for gathering range information on your model. - Choosing a Range Collection Method
Choose from three methods for collecting ranges on which to base data type proposals. - How Range Analysis Works
Learn how the static analysis derives range information.
- Prevent the Fixed-Point Tool from Overriding Integer Data Types
Maintain integer data types in your model when using data type override.
Proposer des types de données
- How the Fixed-Point Tool Proposes Data Types
Learn how the Fixed-Point Tool proposes data types based on collected ranges and proposal settings. - Propose Data Types for Merged Simulation Ranges
Use the Fixed-Point Tool to merge results from multiple simulations, and propose data types based on the merged results. - How Hardware Implementation Settings Affect Data Type Proposals
Use the Fixed-Point Tool to propose word lengths for a model that implements a simple moving average algorithm.
Convertir des types de données
- Convert a Referenced Model to Fixed Point
Use the Fixed-Point Tool to log simulation minimum and maximum values for referenced models and propose data types based on a union of the collected ranges. - Bus Objects in the Fixed-Point Workflow
Learn how data type override behaves with bus objects, and how data types are determined for bus objects. - Autoscaling Data Objects Using the Fixed-Point Tool
Use the Fixed-Point Tool to convert a model that uses data objects for data type specification to fixed point. - Convert MATLAB Function Block to Fixed Point
Use the Fixed-Point Tool to convert a MATLAB® Function block to fixed-point.
Vérifier les résultats
- Control Views in the Fixed-Point Tool
Information filtering, sorting, and analysis in the Fixed-Point Tool. - View Simulation Results
Use the Simulation Data Inspector to view simulation results and compare runs to verify your fixed-point design. - Explore Multiple Floating-Point to Fixed-Point Conversions
Iteratively explore different proposal settings to find the best floating point to fixed-point conversion. - Model Multiple Data Type Behaviors Using a Data Dictionary
Example showing how to use referenced data dictionaries to store multiple sets of data types for a model.
Résolution des problèmes
Blocks That Do Not Support Fixed-Point Data Types
Troubleshoot blocks that are not supported for fixed-point conversion.
Follow best practices and avoid unsupported MATLAB Function block features.
Best Practices for Working with Stateflow Charts in Automated Fixed-Point Conversion Workflows
Follow best practices for Stateflow® charts to avoid unexpected results.
Models That Might Cause Data Type Propagation Errors
Know which modeling practices could cause data type propagation errors after autoscaling.
Troubleshoot range analysis issues.
Avoid specifying conflicting design minimum and maximum values in your model.
Insufficient Design Range Information
Troubleshoot errors caused by insufficient design range information by providing additional input design minimum and maximum values.
Provide More Design Range Information
Troubleshoot insufficient design range information that prevents successful derived range analysis.
Troubleshoot Range Analysis of System Objects
Reconfigure a System object™, if necessary, so that ranges can be derived for the model.
The Fixed-Point Tool Did Not Propose Data Types
Troubleshoot when the Fixed-Point Tool does not propose data types.
Data Type Mismatch and Structure Initial Conditions
Example showing how to replace a structure initial condition with a
Simulink.Parameter object.
Data Type Propagation Errors After Applying Proposed Data Types
Troubleshoot when the Fixed-Point Tool proposes data types that are not compatible with the model.
Sélection d՚exemples
Use the Fixed-Point Tool to Rescale a Fixed-Point Model
Show you how to use the Fixed-Point Tool to refine the scaling of fixed-point data types associated with the feedback controller model fxpdemo_feedback. The Fixed-Point Tool enables multiple workflows for converting a model to use fixed-point data types.
Convert a Model to Fixed Point Using the Command Line
Use the command line interface of the Fixed-Point Tool to autoscale a model.
Fixed-Point Conversion Using Fixed-Point Tool and Derived Range Analysis
Use derived range analysis to collect ranges that then can be used by the Fixed-Point Tool to propose fixed-point scaling.
Convert Neural Network Algorithms to Fixed Point and Generate C Code
Convert a neural network to fixed point using the Fixed-Point Tool and lookup table optimization.
Convert Digit Recognition Neural Network to Fixed Point and Generate C Code
Create an embedded efficient neural network using the Fixed-Point Tool and Lookup Table Optimizer.
