Model Based Design: Build Embedded Systems with Simulink

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Mahmoud Zidan

3:00:35

7 View

1 - Introduction

1 - Introduction to Model Based Design.mp4

09:27

1 - Quiz 1.html

2 - MBD Example DC Motor Control Part 1.mp4

08:36

2 - Quiz 2.html

3 - MBD Example DC Motor Control Part 2.mp4

05:44

2 - Tools and Development Techniques

3 - Quiz 3.html

4 - Introducing the Software Architecture.mp4

04:30

4 - Quiz 4.html

5 - Installation-Guide.pdf

5 - Tools installation Guide.html

6 - Model Configuration.mp4

03:26

3 - Digital Inputs and Outputs

5 - Quiz 5.html

7 - DigitalInputOutput-Requirements.pdf

7 - Digital Input and Output Part 1 Modeling.mp4

11:32

8 - Digital Input and Output Part 2 Deploy on HW.mp4

10:19

9 - Directional Lights System.mp4

19:30

4 - Analog Signals

10 - Analog Input Potentiometer.mp4

13:11

11 - Analog Input LDR.mp4

13:01

12 - DC Motor Speed Control Part 1.mp4

10:04

13 - DC Motor Speed Control Part 2.mp4

05:56

14 - DC Motor Speed Control Part 3.mp4

10:16

5 - Miscellaneous Topics

15 - Ultrasonic Sensor.mp4

17:27

16 - Infrared Obstacle Avoidance Sensor.mp4

08:01

17 - Rotary Encoder Part 1.mp4

10:44

18 - Rotary Encoder Part 2.mp4

07:28

19 - Rotary Encoder Part 3.mp4

06:29

20 - Simulink Support Package for Arduino.mp4

04:54

6 - Tasks Optional

21 - Directional Lights System Update.html

22 - Motor Speed Control Update.html

Description

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

What You'll Learn?

Understand the concept of Model Based Design
Navigate the Simulink Environment
Configure Simulink Model for Code Generation
Integrate Hand-Written Code with Generated Code from Simulink
Deploy Code on Microcontroller
Test Code on Real Hardware
Requirements Analysis
Interface Sensors and Actuators with Microcontroller
Develop Algorithms for Different Sensors Using Simulink
How to Read and Write Digital Signals
Read Analog Signals
Measure Distance Using Ultrasonic Sensor
Use LDR (Photoresistor)
Develop Algorithm for Rotary Encoder
Algorithm for Infrared Sensor
DC Motor Control using Digital and Analog Signals

Who is this for?

Anyone who is interested in developing a full embedded systems project using model based design approach.

Undergraduate and graduate students seeking a model-based development engineering position

What You Need to Know?

Basic Knowledge of Embedded Systems, Simulink is preferred but not necessary

More details

Description
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.
Youâ€™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, 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
Enabled subsystem
Truth Tables
Stateflow chart
Implement commonly used algorithm in automotive and other industries such as Counters and Denouncing algorithm
Generate C/C++ Code and Deploy on Micro-Controller Target
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 .

Who this course is for:
Anyone who is interested in developing a full embedded systems project using model based design approach.
Undergraduate and graduate students seeking a model-based development engineering position

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Mahmoud Zidan is a Senior Model Based Design and Systems Engineer at APPRAID Tech. With an extensive background in Model-Based Development Engineering and Embedded Systems Engineering within the automotive industry, he has actively contributed to numerous projects involving electric vehicles for renowned car manufacturers like Volkswagen and BMW. He has contributed to development of requirements in different vehicle domains, model design and testing.

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