The Arduino® Engineering Kit is directed towards engineering students who want to learn engineering concepts with the help of Arduino, MATLAB®, Simulink®, and Stateflow®. This kit was developed by Arduino in collaboration with MathWorks. The kit contains all the components needed to build three complete projects, along with educational materials that elaborate on the project assembly as well as the Physics and Engineering concepts behind the projects, such as Control Systems, Image Processing, Mechatronics and Robotics. You will be introduced to programming in Arduino, MATLAB and Simulink, and learn all these topics discussed above while making three challenging engineering projects.
You can access the license and installation requirements for Arduino Engineering Kit Rev 2 at https://engineeringkit.arduino.cc/.
The kit includes a one-year individual user MATLAB license that includes all of these products with version R2021a:
Simulink Support Package for Arduino Hardware
MATLAB Support Package for Arduino Hardware
Control System Toolbox™
Curve Fitting Toolbox™
DSP System Toolbox™
Image Processing Toolbox™
Instrument Control Toolbox™
Signal Processing Toolbox™
Symbolic Math Toolbox™
If you have an existing MATLAB license, you can use that too as long as you have the required products and access to release R2021a or later.
You can see if you have the required products installed by typing the following command at the MATLAB prompt:
If you have version R2020b or earlier releases, Arduino Engineering Kit Rev 2 project files are not available with the support package. For those releases, you can use the Arduino Engineering Kit Rev 1 project files, which are available in MATLAB Central™ File Exchange.
When you install Simulink Support Package for Arduino Hardware, the project files for these three projects are downloaded and installed:
Featuring inverted pendulum dynamics using a reaction wheel and movement gyro, the Self-Balancing Motorcycle can move around and balance by itself. The motorcycle is using Simulink to monitor and control the movements, by performing inertial sensing and filtering to make the motorcycle balance. In this project, the Nano Motor Carrier from Arduino is used to control the inertia wheel in the center of the motorcycle. It also commands a geared DC motor in the back wheel to move forward or backward, and a servo in the front to steer the motorcycle.
The Webcam Controlled Rover features position tracking using a webcam and onboard sensing features for obstacle avoidance and movement. The rover uses a mix between MATLAB and Simulink programs to move around and interact with the world. In the rover, the Nano Motor Carrier from Arduino is used to control the two DC geared motors at the rear end and a servo motor in the front of the vehicle, providing the rover with a lifting mechanism.
Using image processing techniques for extraction of geometries and path planning, the Drawing Robot recreates a picture on a whiteboard from an image captured through a webcam with the help of MATLAB. The robot utilizes pure MATLAB code to convert an image into set of motor commands that moves the markers across a whiteboard in order to duplicate the picture on the canvas. In this project, the Nano Motor Carrier from Arduino is used to position the two DC geared motors on the whiteboard. Additionally, it will be used to control a servo motor that lowers the markers on the whiteboard, and helps to select between two different marker colors.
|Self-Balancing Motorcycle||Webcam Controlled Rover||Drawing Robot|
|Simulink||Simulink||Control System Toolbox|
|Simscape||Stateflow||Image Processing Toolbox|
|Simscape Multibody||Image Processing Toolbox||MATLAB Support Package for USB Webcams|
|Simulink Support Package for Arduino Hardware||MATLAB Support Package for Arduino Hardware||MATLAB Support Package for Arduino Hardware|
|Simulink Support Package for Arduino Hardware|