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Modellazione

Preparare il modello per la connessione hardware e aggiungere blocchi per supportare i protocolli hardware

Preparare i modelli di Simulink^® per la connessione hardware, aggiungere blocchi per supportare i protocolli hardware ed esempi di riferimento con varie applicazioni.

Blocchi di comando

Battery	Measure voltage level of battery in EV3 brick
Display	Display label and integer on EV3 display
Motor	Control power and direction of EV3 motor
Speaker	Play tune from EV3 speaker
Status Light	Control status light on EV3 brick
Timer	Measure elapsed time from timer in EV3 brick

Blocchi sensore

Button	Detect status of EV3 brick button
Color Sensor	Detect color, reflected light, or ambient light using EV3 brick
Encoder	Measure incremental position and direction of motor connected to EV3 brick
Gyro Sensor	Measure rate of rotation of gyro sensor connected to EV3 brick
Infrared Sensor	Detect button status on LEGO remote infrared beacon, measure beacon proximity and heading, and measure object proximity using infrared sensor connected to EV3 brick
NXT Touch Sensor	Detect status of EV3 brick NXT touch sensor
NXT Ultrasonic Sensor	Measure distance between NXT ultrasonic sensor connected to EV3 brick and nearest object
NXT Gyro Sensor	Measure rate of rotation of NXT gyro sensor connected to EV3 brick
NXT Sound Sensor	Measure surrounding sound levels using NXT sound sensor connected to EV3 brick
Pixy2 Vision Sensor	Represent connected CMUcam5 Pixy2 vision sensor and tracks object (color blob)
Touch Sensor	Detect status of EV3 brick touch sensor
Ultrasonic Sensor	Measure distance between ultrasonic sensor connected to EV3 brick and nearest object

Blocchi del protocollo di comunicazione

I2C Register Read	Controller device reads data from the I2C peripheral device or I2C peripheral device register(s)
TCP/IP Receive	Ricevere dati su rete TCP/IP da host remoto
TCP/IP Send	Inviare dati su rete TCP/IP a un altro host remoto
UDP Receive	Receive UDP packets from another UDP host on an Internet network
UDP Send	Send UDP packets to another UDP host on Internet network

Argomenti

Getting Started with LEGO MINDSTORMS EV3 Hardware
This example shows you how to use Simulink® Support Package for LEGO® MINDSTORMS® EV3 Hardware to run a Simulink model on LEGO MINDSTORMS EV3 hardware.
Model Configuration Parameters for the LEGO MINDSTORMS EV3 Brick
Parameter and configuration options for creating and running applications on the LEGO^® MINDSTORMS^® EV3 brick.
Open Block Library for LEGO MINDSTORMS EV3 Hardware
Locate Simulink blocks for LEGO MINDSTORMS EV3 hardware.
Read Data from I2C Sensors Using LEGO MINDSTORMS EV3 Hardware
This example shows how to read data from I2C-based third-party sensors using the LEGO® MINDSTORMS® EV3 hardware.

Esempi in primo piano

Drive with PID Control

Simulate a simple closed-loop control algorithm in Simulink® and how to run it on LEGO® MINDSTORMS® EV3 hardware.

Apri modello

Implement Line Tracking Using LEGO MINDSTORMSEV3 Hardware

Implement a line tracking algorithm for a two-wheeled robot built with LEGO® MINDSTORMS® EV3 hardware.

Apri modello

Control LEGO MINDSTORMS EV3 Robot from Host Computer

Create a Simulink® model to communicate between the Host PC and the LEGO® MINDSTORMS® EV3 robot. The Simulink model running on the Host PC will exchange data with the EV3 brick and control the motion of the EV3 robot.

Apri modello

Controlling LEGO MINDSTORMS EV3 Robot Using Raspberry Pi Sense HAT

Read the Accelerometer on Raspberry Pi® Sense HAT and use this data to control the movement of a LEGO® MINDSTORMS® EV3 robot.

Apri modello

Communicating with LEGO MINDSTORMS EV3 Hardware Using XCP-Based Simulation

Tune the parameters and monitor the signals of an algorithm running on the LEGO® MINDSTORMS® EV3 hardware using XCP-based simulation.

Apri modello

Track Colored Objects Using Pixy2 Vision Sensor

Implement an object tracking system using a LEGO® MINDSTORMS® EV3 hardware and a Pixy2 vision sensor.

Apri modello

LEGO EV3 Object Tracking System Using Pixy2 Vision Sensor and PID Controller

Improve the efficiency of an object tracking system using a Proportional Integral Derivative (PID) controller. The object tracking system has been built using the LEGO® MINDSTORMS® EV3 hardware and Pixy2 vision sensor.

Apri modello