Challenge

Project 2 Adaptive Cruise Control

Aim: To develop an MBD-compliant Adaptive Cruise Control feature as per the provided requirement document using MATLAB Simulink

Objectives:

Developing Adaptive Cruise Control feature as per the Requirement Document using MATLAB Simulink.
Follow all the MBD-related processes: Requirement Tagging & Traceability, SLDD creation, Configuration Parameter changes, Model Advisor check & Code Generation.
In Configuration Parameters: enable “Support Floating Numbers” under Code Generation settings.
Use Embedded Coder to generate the code.
If choosing code generation, Storage class for Input signals: ImportedExtern; Storage class for Output signal: Export to File; Storage class for local signals: localizable; Storage class for calibration signals: Const.
Choose sample time for all signals as 0.01s

DESCRIPTION:

1) SLDD file creation

Create a blank Simulink model and save it
Create a new SLDD file and link it to the model by saving it in the same directory as of the model
Go to model explorer > Open design data from model folders and subfolders > create signals and constants required
Add signal and constant parameters as specified in the document
2) Creating Simulink model of ACC algorithm
- We start modeling the algorithm by creating a subsystem named Adaptive_Cruise_Control_Mode with 9 input parameters and one output parameter which is the final vehicle acceleration response

Three more subsystems are created for the three provided requirements namely Lead_Vehicle, Drive_Vehicle, and ACCAlgorithm

Result:

The adaptive cruise control is modeled in Simulink as per the given requirements and MBD guidlines
Performed requirement tagging on the requirement subsystem blocks
Solver and code generators are configured
SLDD file is created and linked to the model also the signals are resolved and propagated
Model advisor report is generated and verified
C-code for the model is generated and attached

Ship work like this
in your own course.