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MatlabModels

MATLAB and Simulink-based projects focused on embedded systems, automotive behavioral modeling, real-time control systems, and hardware interfacing.

This repository contains multiple practical projects developed for learning, experimentation, rapid prototyping, and real-world automotive system development using platforms such as Arduino, Raspberry Pi, STM32, and dSPACE.


About The Repository

The main objective of this repository is to explore how different embedded platforms and control systems can be integrated with MATLAB and Simulink for developing intelligent and interactive systems.

The projects cover:

  • Automotive behavioral modeling
  • Real-time embedded systems
  • Sensor and actuator integration
  • Dashboard simulation
  • Hardware interfacing
  • Vehicle signal control
  • Rapid control prototyping
  • Hardware-in-the-loop concepts

The repository includes projects ranging from beginner-level embedded experiments to advanced automotive control models.


Main Project Areas

Embedded Systems Projects

Projects focused on basic embedded system concepts using sensors, actuators, PWM, analog input, and digital output control.

These projects demonstrate:

  • LED control
  • Servo motor control
  • Ultrasonic sensor integration
  • Analog signal processing
  • PWM-based intensity control
  • Basic automation logic

Purpose:

  • Understanding embedded hardware interaction
  • Learning real-time signal processing
  • Building hardware interfacing knowledge

Automotive Behavioral Modeling

Projects designed to simulate and model vehicle behavior using Simulink.

The models focus on:

  • Steering behavior
  • Brake and accelerator response
  • Indicator control
  • Dashboard simulation
  • Vehicle signal management
  • Driver input simulation

Purpose:

  • Understanding automotive electronic systems
  • Developing vehicle control logic
  • Simulating real-world vehicle behavior

Arduino-Based Vehicle Projects

Vehicle models integrated with Arduino hardware for real-time interaction.

Features include:

  • Pin-based signal control
  • Real-time input/output handling
  • Dashboard integration
  • Sensor-based control systems

Applications:

  • Educational automotive projects
  • Embedded vehicle prototyping
  • Hardware testing

Raspberry Pi-Based Projects

Projects using Raspberry Pi for embedded automotive and control applications.

Focus areas:

  • GPIO interfacing
  • Embedded computation
  • Vehicle signal simulation
  • System-level control

Purpose:

  • Learning Linux-based embedded systems
  • High-level embedded control implementation

STM32 Embedded Control Projects

Projects developed using STM32 microcontrollers for real-time embedded automotive systems.

Main concepts:

  • Microcontroller-based control
  • Real-time processing
  • Signal handling
  • Embedded automation

Purpose:

  • Industrial embedded system understanding
  • Real-time control implementation

dSPACE Real-Time Projects

Advanced projects developed using dSPACE platforms for automotive control and simulation.

Focus areas:

  • Real-time execution
  • Vehicle behavioral simulation
  • Hardware-in-the-loop concepts
  • Rapid control prototyping

Applications:

  • Automotive research
  • Real-time testing
  • Control system validation

Dashboard Simulation Projects

Projects focused on creating dashboard behavior and signal visualization systems.

Includes:

  • Vehicle status visualization
  • Signal monitoring
  • Interactive dashboard logic
  • Simulation-based display systems

Purpose:

  • Human-machine interface understanding
  • Automotive dashboard simulation

Technologies Used

  • MATLAB
  • Simulink
  • Arduino
  • Raspberry Pi
  • STM32
  • dSPACE

Learning Outcomes

Through these projects, the following areas are explored:

  • Embedded systems development
  • Automotive electronics
  • Real-time systems
  • Control system modeling
  • Hardware interfacing
  • Vehicle behavior simulation
  • Sensor integration
  • Rapid prototyping

Applications

The repository can be useful for:

  • Students learning MATLAB and Simulink
  • Embedded systems development
  • Automotive research projects
  • Hardware interfacing practice
  • Real-time control experimentation
  • Educational demonstrations

Future Improvements

Planned future work includes:

  • Advanced automotive control systems
  • CAN communication integration
  • Autonomous vehicle simulation
  • AI-based control systems
  • HIL and SIL testing frameworks
  • Advanced dashboard visualization

Author

Thippeswamy K S

GitHub: https://github.com/thippeswammy


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MATLAB and Simulink models for embedded systems, automotive behavioral modeling, sensor interfacing, real-time control, and hardware integration using Arduino, Raspberry Pi, STM32, and dSPACE.

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