Self-adapting simulation and code generation control method in Simulink

Abstract

The invention relates to a self-adapting simulation and code generation control method in Simulink. The method comprises the steps that (1), the Simulink.Parameter type or similar type parameters are created in MATLAB / Simulink; (2), an S function is written; (3), an S function module is created in Simulink model files, and the S function is connected to the S function module; (4), the name of the parameters is input into a GUI tool, and the tool automatically reads the information of the various parameters needed by the S function and sets parameters of the S function module; (5), a TLC file is written, the TLC file reads the parameter information of the S function and other information relevant to the S function, and determines data types of the parameters according to the serial number of the data types, and user-defined codes with different specified formats can be generated. The self-adapting simulation and code generation control method can greatly improve modeling and code generation efficiency, and has high practicability.

Description

technical field [0001] The invention relates to the field of automotive electronic embedded system development, in particular to automatic code generation based on MATLAB / Simulink, and in particular to a control method for self-defined module data type adaptive simulation and code generation in Simulink. Background technique [0002] In the field of automotive electronics, embedded systems are used more and more widely, and most of them use microprocessors as the control core. The model-based V-type development method can realize the modeling and simulation of the controller model, rapid prototyping, automatic code generation, hardware-in-the-loop simulation and system application. MATLAB / Simulink is a modeling simulation and automatic code generation tool commonly used today, which can complete the entire process of modeling simulation, rapid prototyping and automatic code generation. Simulink provides a large number of built-in modules for modeling and code generation, b...

AI Technical Summary

Problems solved by technology

However, the custom module cannot obtain the fixed-point type attribute of the parameter by reading the parameter of the fixed-point type, which will cause the custom module to use the wrong data type to output the result calculated by the parameter, and make the output of the module wrong.

Although this problem can be solved by writing a specific custom module for each fixed-point type parameter with different attributes, it will consume a lot of system development time, and when the fixed-point type attribute of the parameter changes, all related modules need to be replaced. Custom modules make the modeling process very cumbersome and cannot meet the needs of modeling and code generation

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