Iterative Fixed-Point Conversion in Simulink
The Fixed-Point Tool is a user interface that automates the task of specifying fixed-point data types in a Simulink® model. The tool collects range data for model objects based on simulation, derived, or design ranges. In the
Iterative Fixed-Point Conversion workflow, the tool then proposes fixed-point data types that maximize precision and cover the range. You can then review the data type proposals and apply them selectively to objects in your model. If design requirements are not met, you can adjust data type proposal settings, visualize their effects, and iterate until the system meets your requirements.
To convert your model to fixed point, follow the steps in Iterative Fixed-Point Conversion Using the Fixed-Point Tool. For an example of the complete conversion process, see Convert Floating-Point Model to Fixed Point.
DataTypeWorkflow.Converter object and its associated object functions are a command-line alternative to the
Iterative Fixed-Point Conversion in the Fixed-Point Tool.
|Fixed-Point Tool||Convert a floating-point model to a fixed-point model|
|Open the Fixed-Point Tool|
|Create fixed-point converter object|
|Get a list of subsystems to replace with an approximation (depuis R2019a)|
|Proposal settings object for data type proposals|
|Object containing run result information|
|Verification results after converting a system to fixed point (depuis R2019a)|
Iterative Fixed-Point Conversion Workflow Overview
- 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.
- 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.
Prepare System for 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.
- 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.
Propose Data Types
- 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.
Convert Data Types
- 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.
- 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
Troubleshoot blocks that are not supported for fixed-point conversion.
Follow best practices and avoid unsupported MATLAB Function block features.
Follow best practices for Stateflow® charts to avoid unexpected results.
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.
Troubleshoot errors caused by insufficient design range information by providing additional input design minimum and maximum values.
Troubleshoot insufficient design range information that prevents successful derived range analysis.
Reconfigure a System Object, if necessary, so that ranges can be derived for the model.
Troubleshoot when the Fixed-Point Tool does not propose data types.
Example showing how to replace a structure initial condition with a
Troubleshoot when the Fixed-Point Tool proposes data types that are not compatible with the model.