Model Based Design: Build Embedded Systems with Simulink

Model Based Design: Build Embedded Systems with Simulink udemy course

Model Based Development - MBD: From Requirements to Testing on Hardware

Model Based Design: to be MBD Engineer

We will dive into the world of Model Based Design and Embedded Systems, explore the entire software development life cycle.

Initiate the process by comprehending the requirements, transforming them into models, generate code from models, integrate codes and deploy on hardware.

Throughout this course, we will guide you systematically in the creation of embedded systems projects and leveraging the power of the model based approach with Simulink.

You’ll gain expertise in constructing models tailored for code generation, deploying this code seamlessly onto microcontrollers, and conducting real-world hardware testing.

Furthermore, we will provide you with a comprehensive introduction to the essential Simulink blocks that are frequently utilized in embedded software projects within industries such as automotive.

In addition, you will learn the common design concepts in industry such as implementation of counters, debouncing algorithm and other topics.

Learn how to interface different sensors, design models to use data from them and to control different actuators.

This course will build your knowledge step by step and prepare you to start your journey as model based design engineer in industries such automotive, aerospace and robotics by building real embedded systems projects starting from basic examples to more complex designs.

This course will teach you how to handle the following sensors and actuators using model based design techniques:

• Modelling using multiple Simulink blocks such as:

  Math blocks, Logic blocks

  PID controller, Inputs and outputs blocks,

  If/else block, Switch Case blocks, Merge block

  Atomic subsystems, Enabled subsystem

  Truth Tables

  Stateflow chart

• Implement commonly used algorithm in automotive and other industries such as Counters and Denouncing algorithm

• Generate C Code and Deploy on Micro-Controller Target [Ex: Arduino, STM32 and ESP32]

• Digital inputs and outputs (Buttons and LEDs)

• Analog signals (Potentiometer)

• Combine digital and analog signals in a control algorithm to control motor speed

• LDR

• Ultrasonic Sensor

• Infrared Obstacle Avoidance Sensor

• Rotary Encoder

• Simulink Support Package for Arduino

In each lesson we will learn a new design technique and introduce you to multiple ways of building the same functionality to enhance your modeling skills and deploying .

Course Updates:

[April 2025]

• New Lesson in Questions and Answers section [ Atomic vs Function Caller Subsystem]

[Jan 2025]

• New lesson on deploying generated code on STM32 uC

• New lesson on deploying generated code on ESP32