Module 1: Introduction to Model-Based Design (2 Weeks)

This module lays the foundation for MBD by exploring its principles, workflows, and advantages. It highlights the differences between MBD and traditional software development approaches and its impact on reducing development time and cost.

Overview of MBD:

Understanding the MBD workflow: From modeling to code generation.

Exploring benefits like system-level design, simulation, and early-stage testing.

Applications of MBD:

Industry use cases in automotive (ECU design, ADAS), aerospace (flight control systems), robotics (motion control), and industrial automation.

Software Tools Overview:

Introduction to MATLAB, Simulink, and Stateflow.

Installing and configuring tools for hands-on practice.

Module 2: MATLAB Basics and Programming (2 Weeks)

MATLAB is a critical tool for MBD, enabling numerical computing and model manipulation. This module ensures students are comfortable with MATLAB basics and programming techniques.

MATLAB Fundamentals:

Navigating the MATLAB environment and understanding its functionalities.

Working with variables, data types, and arrays.

MATLAB Programming:

Writing and debugging scripts and functions.

Using loops, conditional statements, and modular programming.

Data Visualization:

Plotting 2D and 3D graphs.

Customizing plots for clear data representation.

Module 3: Simulink Basics and Modeling (3 Weeks)

Simulink, a block-diagram environment, is central to MBD. This module introduces modeling, simulation, and the creation of structured subsystems.

Getting Started with Simulink:

Understanding the interface and exploring libraries.

Creating and simulating simple dynamic models.

Model Components:

Building modular subsystems and reusable blocks.

Setting up parameters and defining simulation properties.

Signal Routing and Control Systems:

Routing signals effectively using multiplexers and selectors.

Designing basic control systems (e.g., PID controller) with simulation.

Modeling Best Practices:

Standards for readability and scalability.

Adding comments, naming conventions, and model documentation.

Module 4: Stateflow for Logic Design (2 Weeks)

This module focuses on Stateflow, a powerful tool for designing control logic and state machines.

Introduction to Stateflow:

Exploring state machine concepts: states, transitions, and events.

Real-world examples of decision-making logic in embedded systems.

Designing Complex Logic:

Hierarchical and parallel states.

Using flow charts to represent decision processes.

Integration with Simulink:

Linking Stateflow charts with Simulink models for dynamic behavior simulation.

Debugging and testing state machine logic.

Module 5: Advanced MBD Techniques (3 Weeks)

This module equips students with advanced MBD skills, focusing on testing, code generation, and optimization.

Model Verification and Validation:

Techniques for debugging and testing models.

Understanding simulation modes (normal, accelerator, SIL/PIL).

Ensuring requirements traceability with model-based testing.

Code Generation:

Generating optimized C/C++ code from Simulink models using Embedded Coder.

Configuring settings for target-specific code generation.

Optimization and Calibration:

Working with fixed-point and floating-point arithmetic.

Tuning model parameters and calibrating for performance.

Module 6: Real Time Applications (2 Weeks)

Students learn to deploy MBD designs in real time environments, bridging the gap between simulation & hardware implementation.

HIL Simulation:

Overview of HIL systems for testing control algorithms.

Using Simulink Real-Time for connecting to real hardware.

Rapid Prototyping:

Deploying models in embedded systems.

Industry experience with hardware interfaces: CAN, I2C, & UART.

Module 7: Capstone Project and Career Preparation (2 Weeks)

This final module focuses on practical implementation and preparing students for MBD roles in the industry.

Capstone Project:

Students work on an end-to-end MBD project, such as designing an automotive ECU or robotic motion controller.

Deliverables include a fully validated Simulink model and generated C/C++ code.

Career Preparation:

Comprehensive resume and portfolio building focused on MBD roles.

Common interview questions for MBD Engineers.

Mock technical interviews with feedback.