arduino programming with matlab and simulink -凯发k8网页登录

build arduino projects using high-level programming and block diagrams

arduino® programming is supposed to be fun, but it can become frustrating and time consuming for tasks such as visualizing sensor data or incorporating signal processing, machine learning, controls, or advanced math into your projects.

matlab® and simulink® address several challenges with traditional arduino programming. the products support two primary workflows:

read, write, and analyze data from arduino sensors

matlab support package for arduino lets you write matlab programs that read and write data to your arduino and access connected devices such as motors, leds, and i2c devices. because matlab is a high-level interpreted language, prototyping and refining algorithms for your arduino projects is easy, and you can see results from i/o instructions immediately, without recompiling. matlab includes thousands of built-in math, engineering, and plotting functions that you can use for your arduino programming.

with matlab support package for arduino, the arduino is connected to a computer running matlab. processing is done on the computer with matlab.

benefits of using matlab for arduino programming:

 


simulink support package for arduino lets you develop algorithms in simulink, a block diagram environment for modeling dynamic systems and developing algorithms, and run them standalone on your arduino. the support package extends simulink with blocks for configuring and accessing arduino sensors, actuators, and communication interfaces. after creating your simulink model, you can simulate it, until you get it just right, and download the completed algorithm for standalone execution on the device. with the matlab function block, you can incorporate matlab code into your simulink model.

with simulink support package for arduino, you develop the algorithm in simulink and deploy to the arduino using automatic code generation. processing is then done on the arduino.

benefits of using simulink for arduino programming:

  • develop and simulate your algorithms in simulink and use automatic code generation to run them on the device
  • incorporate signal processing, control design, state logic, and other advanced math and engineering routines in your hardware projects
  • interactively tune and optimize parameters in simulink as your algorithm runs on your arduino
  • easily modify algorithms to run on other and commercial hardware platforms

see also: hardware for project-based learning, model-based design, control systems, internet of things, , , robotics, , robot programming, inverse kinematics

matlab support package for arduino

simulink support package for arduino

arduino engineering kit

learn important engineering concepts while programming fun arduino projects with matlab and simulink.

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