Arduino support package simulink

Ready to install?

Check the System Requirements

To install a hardware support package, you must have a supported product release, along with the required operating system and base product.

  • A supported release
  • A supported operating system
  • The required base products

If you do not have a supported release or the required base products, you can get started with a free trial, or you can purchase products.

Continue with the Installation

After confirming you have the system requirements, proceed with either installation option listed below.

Option 1: Using the Toolstrip

Launch the Support Package Installer from your version of MATLAB and navigate to the correct support package.

Option 2: «Get Support Package» Button (.mlpkginstall file*)

Clicking the Get Support Package button provides the support package install file:
([filename].mlpkginstall)

There are several ways to initiate the Support Package Installer from these files:

  • Open the .mlpkginstall file directly from your Internet browser.
  • Download and save the file (the default option for some Internet browsers), and open it directly from your Windows, Mac, or Linux operating system.
  • Open the .mlpkginstall file directly from within MATLAB by navigating the Current Folder to the location of the downloaded file and double clicking it. That will initiate the installation for the MATLAB release that you have open.

The primary difference between using the .mlpkginstall file (option 2) rather than the toolstrip (option 1) to initiate support package installation is that the file allows the user to avoid the support package selection screen on the installer.

*These file types were introduced in MATLAB R2013a.

Users without an Internet connection can install hardware support packages by following the download instructions.

Support Package Installer installs this support package and all required third-party software. To start the installer, go to the MATLAB toolstrip and click Add-Ons > Get Hardware Support Packages.

Capabilities and Features

With Simulink ® Support Package for Arduino ® Hardware, you can use Simulink to develop and simulate algorithms that run standalone on your Arduino. The package includes:

  • Hardware plugin detection for Arduino boards in MATLAB and setup screens for initial Arduino board configuration
  • UDP and TCP/IP blocks in the Ethernet shield library and Wi-Fi library to let your Arduino hardware communicate with LEGO MINDSTORMS ® EV3, Raspberry Pi™, and mobile devices (Android™ and iOS) over Ethernet or Wi-Fi
  • Simulink blocks for configuring and accessing Arduino inputs and outputs
  • Write and read blocks to communicate directly with a ThingSpeak™ channel from your algorithms running on an Arduino board
  • Access to Arduino WiFi Shield, onboard Wi-Fi chip on Arduino MKR1000, ESP8266 modules, and Ethernet Shield
  • External mode for interactive parameter tuning and signal monitoring as your algorithm runs on the device (not available on some boards – see list below). Dashboard blocks and Simulation Data Inspector are supported with XCP-based External mode as of R2019a.
  • Model deployment for standalone operation on Arduino boards
  • Simulink I/O access to peripherals connected to Arduino boards before deploying models to hardware, including digital inputs and outputs, I2C read and write, SPI write/read, analog inputs, and pulse width modulated outputs
  • External Interrupt blocks lets you trigger downstream Function-Call subsystems
  • Documentation that guides you on how to create a device driver block to access specific features of your hardware board
  • Simulink Coder™ lets you access the C code generated from Simulink and trace it back to the original model.
  • Embedded Coder ® lets you generate optimized code, use code replacement libraries, and perform software-in-the-loop and processor-in-the-loop verification.

Источник

Arduino Support from MATLAB

Connect to and control Arduino inputs and outputs from MATLAB

Ready to install?

Check the System Requirements

To install a hardware support package, you must have a supported product release, along with the required operating system and base product.

  • A supported release
  • A supported operating system
  • The required base products

If you do not have a supported release or the required base products, you can get started with a free trial, or you can purchase products.

Continue with the Installation

After confirming you have the system requirements, proceed with either installation option listed below.

Option 1: Using the Toolstrip

Launch the Support Package Installer from your version of MATLAB and navigate to the correct support package.

Option 2: «Get Support Package» Button (.mlpkginstall file*)

Clicking the Get Support Package button provides the support package install file:
([filename].mlpkginstall)

There are several ways to initiate the Support Package Installer from these files:

  • Open the .mlpkginstall file directly from your Internet browser.
  • Download and save the file (the default option for some Internet browsers), and open it directly from your Windows, Mac, or Linux operating system.
  • Open the .mlpkginstall file directly from within MATLAB by navigating the Current Folder to the location of the downloaded file and double clicking it. That will initiate the installation for the MATLAB release that you have open.

The primary difference between using the .mlpkginstall file (option 2) rather than the toolstrip (option 1) to initiate support package installation is that the file allows the user to avoid the support package selection screen on the installer.

*These file types were introduced in MATLAB R2013a.

Users without an Internet connection can install hardware support packages by following the download instructions.

Support Package Installer installs this support package and all required third-party software. To start the installer, go to the MATLAB toolstrip and click Add-Ons > Get Hardware Support Packages.

Capabilities and Features

With MATLAB ® Support Package for Arduino ® Hardware, you can use MATLAB to interactively communicate with an Arduino board. The package enables you to perform tasks such as:

  • Acquire analog and digital sensor data from your Arduino board
  • Control other devices with digital and PWM outputs
  • Drive DC, servo, and stepper motors (also supports Adafruit Motor Shield)
  • Access peripheral devices and sensors connected over I2C or SPI
  • Communicate with an Arduino board over a USB cable or wirelessly over Wi-Fi
  • Build custom add-ons to interface with additional hardware and software libraries
  • Read and write CAN Messages with MCP2515 based CAN-Bus shields through supported Arduino boards

Because MATLAB is a high level interpreted language, you can see results from I/O instructions immediately, without compiling. MATLAB includes thousands of built-in math, engineering, and plotting functions that you can use to quickly analyze and visualize data collected from your Arduino.

Источник

Ready to install?

Check the System Requirements

To install a hardware support package, you must have a supported product release, along with the required operating system and base product.

  • A supported release
  • A supported operating system
  • The required base products

If you do not have a supported release or the required base products, you can get started with a free trial, or you can purchase products.

Continue with the Installation

After confirming you have the system requirements, proceed with either installation option listed below.

Option 1: Using the Toolstrip

Launch the Support Package Installer from your version of MATLAB and navigate to the correct support package.

Option 2: «Get Support Package» Button (.mlpkginstall file*)

Clicking the Get Support Package button provides the support package install file:
([filename].mlpkginstall)

There are several ways to initiate the Support Package Installer from these files:

  • Open the .mlpkginstall file directly from your Internet browser.
  • Download and save the file (the default option for some Internet browsers), and open it directly from your Windows, Mac, or Linux operating system.
  • Open the .mlpkginstall file directly from within MATLAB by navigating the Current Folder to the location of the downloaded file and double clicking it. That will initiate the installation for the MATLAB release that you have open.

The primary difference between using the .mlpkginstall file (option 2) rather than the toolstrip (option 1) to initiate support package installation is that the file allows the user to avoid the support package selection screen on the installer.

*These file types were introduced in MATLAB R2013a.

Users without an Internet connection can install hardware support packages by following the download instructions.

Support Package Installer installs this support package and all required third-party software. To start the installer, go to the MATLAB toolstrip and click Add-Ons > Get Hardware Support Packages.

Capabilities and Features

With Simulink ® Support Package for Arduino ® Hardware, you can use Simulink to develop and simulate algorithms that run standalone on your Arduino. The package includes:

  • Hardware plugin detection for Arduino boards in MATLAB and setup screens for initial Arduino board configuration
  • UDP and TCP/IP blocks in the Ethernet shield library and Wi-Fi library to let your Arduino hardware communicate with LEGO MINDSTORMS ® EV3, Raspberry Pi™, and mobile devices (Android™ and iOS) over Ethernet or Wi-Fi
  • Simulink blocks for configuring and accessing Arduino inputs and outputs
  • Write and read blocks to communicate directly with a ThingSpeak™ channel from your algorithms running on an Arduino board
  • Access to Arduino WiFi Shield, onboard Wi-Fi chip on Arduino MKR1000, ESP8266 modules, and Ethernet Shield
  • External mode for interactive parameter tuning and signal monitoring as your algorithm runs on the device (not available on some boards – see list below). Dashboard blocks and Simulation Data Inspector are supported with XCP-based External mode as of R2019a.
  • Model deployment for standalone operation on Arduino boards
  • Simulink I/O access to peripherals connected to Arduino boards before deploying models to hardware, including digital inputs and outputs, I2C read and write, SPI write/read, analog inputs, and pulse width modulated outputs
  • External Interrupt blocks lets you trigger downstream Function-Call subsystems
  • Documentation that guides you on how to create a device driver block to access specific features of your hardware board
  • Simulink Coder™ lets you access the C code generated from Simulink and trace it back to the original model.
  • Embedded Coder ® lets you generate optimized code, use code replacement libraries, and perform software-in-the-loop and processor-in-the-loop verification.

Источник

Getting Started with Arduino Hardware

This example shows how to use Simulink® Support Package for Arduino® Hardware to run a Simulink model on Arduino board.

Arduino Mega 2560

Arduino Mega ADK

Arduino Nano 3.0

Arduino MKR WIFI 1010

Arduino MKR ZERO

Arduino Nano 33 IoT

Arduino Nano 33 BLE Sense

Available versions of this example:

The provided model is pre-configured for Arduino Mega 2560 and can be run on any of the board listed in the Supported Hardware section, by changing the Hardware board parameter in the Model Configuration Parameters dialog box of the model as described in Task 4 of this example.

Introduction

Simulink Support Package for Arduino Hardware enables you to create and run Simulink models on Arduino board. The target includes a library of Simulink blocks for configuring and accessing Arduino sensors, actuators and communication interfaces. Additionally, the target enables you to monitor and tune algorithms running on Arduino board from the same Simulink models from which you developed the algorithms.

In this example you will learn how to create and run a simple Simulink model on Arduino board. See other examples for Arduino board to learn how to use External mode and to learn how to implement more complex algorithms.

Prerequisites

Required Hardware

To run this example you will need the following hardware:

Источник

You can add support for Arduino ® hardware to the Simulink ® product. When you complete this process, and replace the firmware, you can run Simulink models on Arduino hardware.

The installation process adds the following items to your host computer:

Third-party software development tools, such as the Arduino software with Mega 2560, Uno, Nano 3.0, Due, Leonardo, Mega ADK, Micro, Robot Control Board, Robot Motor Board, MKR1000, MKR WIFI 1010, MKR ZERO, and Nano 33 IoT board support.

A Simulink block library for configuring and accessing Arduino sensors, actuators, and communication interfaces.

Examples for getting started and learning about specific features.

Documentation for Simulink Support Package for Arduino Hardware .

Install, Update, or Uninstall Support Package

Install Support Package

On the MATLAB ® Home tab, in the Environment section, select Add-Ons > Get Hardware Support Packages.

In the Add-On Explorer window, click the support package and then click Install.

Update Support Package

On the MATLAB Home tab, in the Resources section, select Help > Check for Updates.

Uninstall Support Package

On the MATLAB Home tab, in the Environment section, click Add-Ons > Manage Add-Ons.

In the Add-On Manager window, find and click the support package, and then click Uninstall.

Hardware Setup

Hardware boards and devices supported by MathWorks ® require additional configuration and setup steps to connect to MATLAB and Simulink. Each support package provides a hardware setup process that guides you through registering, configuring, and connecting to your hardware board.

If the support package is already installed, you can start the hardware setup by opening the Add-On Manager.

In the Add-On Manager, start the hardware setup process by clicking the Setup button, .

After starting, the Hardware Setup window provides instructions for configuring the support package to work with your hardware.

Follow the instructions on each page of the Hardware Setup window. When the hardware setup process completes, you can open the examples to get familiar with the product and its features.

Источник

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