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Interfacing MPU-9250 9-DOF Sensor with Arduino

Summary

Hello guys, today we're gonna dive into how to hook up the MPU-9250 9-DOF sensor with an Arduino! This sensor is the real deal and can measure acceleration, rotation, and magnetic fields in all three axes. we're gonna give you a step-by-step guide on how to get this baby up and running, complete with all the code you need to get started. By the end of this blog, you'll have a dope understanding of how to use the MPU-9250 sensor in your own Arduino projects. Let's get to it!

Introduction

MPU-9250 is a 9-axis Inertial measurement module that is a Micro Electro Mechanical Systems configuration (MEMS). IMUs are used as real-time tracking devices to give acceleration, angular velocity, and magnetic field information on all three dimensions (x, y, and z) with high speed and accuracy. Despite its size, it is rated for high-performance and has an analog to digital converter with 16 bit resolution. It features an I2C interface with a data rate of 400 kHz for the 9- DOF Detector module, a Serial Peripheral Interface for fast mode is provided in the module with a rate up to 20 MHz. 


MPU-9250 is perfect for applications where motion and accelerations needs to be tracked like VR headsets or even as an accurate vibration sensor in an industrial environment.

 

MPU-9250 9-DOF Sensor

 

 

Some of the features of the MPU 9-DOF MEMS device Module are listed below

  1. It has a triple axis on accelerometer, gyro and magnetometer as well
  2. Digital-output measuring device with programmable range of ± 2g, ± 4g, ± 8g, and ± 16g for accelerometer.
  3. Digital-output measuring device with programmable range of ± 250, ± 500, ± 1000, and ± 2000 °/ sec for gyroscope.
  4. 3-axis silicon monolithic Hall-effect magnetic sensor with magnetic concentrator
  5. VDD supply voltage range of 2.4–3.6V

read more : How 433MHz RF Module Works & Interfacing With Arduino

Specification:

Features and Peripherals

Availability

Structure

MEMS

SPI Data rate

1 Mz

SPI Fast Data Reading Rate

20Mhz

I2C Data Rate

400 Mhz

Shock tolerance

400 Khz

FIFO buffer

10,000 g

Auxiliary I2C interface

512 Bytes

SPI

1

I2C

1

Operating Voltage

2.4 - 3.6 Volts

Operating current

3.5 mA

Magnetometer output data resolution

14-bit (0.6µT/LSB)

low-pass filter and wake-on-motion interrupt

low power mode

VDDIO

Yes

Digital Output Temperature Sensor

Yes

Cross - Sensitivity

Minimum

User - Programmable Digital Filter

Yes

Package Type

QFN

Dimensions

3 x 3 x 1 mm

Gyroscope operating current

3.2mA

Accelerometer Operating current

450µA

Magnetometer Operating current:

280µA

 

 

read more : Interfacing MAX30100 Pulse Oximeter with Arduino

Constructions

construction of MPU9250

 

The MEMS Sensor module consists mainly of five components: I/ O heads, pull- up resistors, a LDO, and a decoupling capacitor.


MPU9250 chip:

Digital Motion Processor is a multi-purpose processor introduced by Asahi Kasei Microdevices Corporation. This is the main IC and  is equipped with an accelerometer, gyroscope, and magnetometer.

 

 

 

I/ O heads:

The input and output pins will be used to serve the purpose of connectivity and data transmission with the microcontroller unit.

 

Pull-up Resistors:

The pull up resistors are placed for I2C machine to source current and establish default state.

 

LDO:

An LDO voltage regulator is provided to lower the voltage to 3.3V in order for the IC to function in its rated voltage.

 

Decoupling Capacitors:

Depending on the power source (5V, 3.3V, etc.) and ground, decoupling capacitors can temporarily act as power sources. These are known as bypass capacitors. Signals are filtered by these capacitors to remove unwanted noise.

 

read more : Arduino Interfacing with Ultrasonic Sensor

 

Pin Configuration

Pin Configuration MPU9250

 

 

PIN NAME

FUNCTION

INT

Interrupt pin

ECL

I2C Master Serial Clock 

AD0/SD0

I2C Address/Serial data out pin

FSYNC

Frame Synchronisation input pin

VCC

Power supply pin

GND

Ground pin

EDA

I2C Serial Data input 

nCS

Chip selection pin

SCL/SCLK

I2C Serial Clock/SPI Serial Clock pin

SDA/SDI

I2C Serial Data/SPI Serial Data pin

 

 

read more : How to connect ZMPT101B to Arduino

Interfacing MPU-9250 9-DOF Sensor with Arduino

 

Interfacing with Arduino UNO

 

Connection:

Arduino of 5 V - Vcc of the MPU-9250

Arduino of GND - GND of the MPU-9250

Arduino of A4 - SDA of the MPU-9250

Arduino of A5 - SCL of the MPU-9250


Connections between the MPU- 9250 detector module and Arduino UNO are shown in above fig.


Arduino Code:

To use the library, first download and install the MPU9250 into the Arduino IDE. After installation, include the library to sketch the code, also follow these way to get code from the library by clicking Files> Examples> MPU 9250> Calibration or you can also copy the below code to your IDE.

#include "MPU9250.h"

MPU9250 mpu;

 

void setup() {

    Serial.begin(115200);

    Wire.begin();

    delay(2000);

 

    if (!mpu.setup(0x68)) {  // change to your own address

        while (1) {

            Serial.println("There was a problem connecting to MPU. If you are not sure about your connection, please check it with *connection_check*.");

            delay(5000);

        }

    }

 

    // calibrate anytime you want to

    Serial.println("wait 5sec it will start.");

    Serial.println("The device should not be moved from the flat plane.");

    mpu.verbose(true);

    delay(5000);

    mpu.calibrateAccelGyro();

 

    Serial.println("Mag calibration will start in 5sec.");

    Serial.println("Wave the device in a figure eight until it is finished");

    delay(5000);

    mpu.calibrateMag();

 

    print_calibration();

    mpu.verbose(false);

}

 

void loop() {

}

 

void print_calibration() {

    Serial.println("< calibration parameters >");

    Serial.println("accel bias [g]: ");

    Serial.print(mpu.getAccBiasX() * 1000.f / (float)MPU9250::CALIB_ACCEL_SENSITIVITY);

    Serial.print(", ");

    Serial.print(mpu.getAccBiasY() * 1000.f / (float)MPU9250::CALIB_ACCEL_SENSITIVITY);

    Serial.print(", ");

    Serial.print(mpu.getAccBiasZ() * 1000.f / (float)MPU9250::CALIB_ACCEL_SENSITIVITY);

    Serial.println();

    Serial.println("gyro bias [deg/s]: ");

    Serial.print(mpu.getGyroBiasX() / (float)MPU9250::CALIB_GYRO_SENSITIVITY);

    Serial.print(", ");

    Serial.print(mpu.getGyroBiasY() / (float)MPU9250::CALIB_GYRO_SENSITIVITY);

    Serial.print(", ");

    Serial.print(mpu.getGyroBiasZ() / (float)MPU9250::CALIB_GYRO_SENSITIVITY);

    Serial.println();

    Serial.println("mag bias [mG]: ");

    Serial.print(mpu.getMagBiasX());

    Serial.print(", ");

    Serial.print(mpu.getMagBiasY());

    Serial.print(", ");

    Serial.print(mpu.getMagBiasZ());

    Serial.println();

    Serial.println("mag scale []: ");

    Serial.print(mpu.getMagScaleX());

    Serial.print(", ");

    Serial.print(mpu.getMagScaleY());

    Serial.print(", ");

    Serial.print(mpu.getMagScaleZ());

    Serial.println();

}

Conclusion

In this blog post, we have learned that Interfacing the MPU-9250 9-DOF sensor with Arduino opens up a world of possibilities for building innovative projects that require precise motion tracking and orientation sensing. With its easy-to-use library and robust capabilities, the MPU-9250 sensor can be integrated into a wide range of applications, from drones and robotics to virtual reality and gaming. By following the simple steps outlined in this guide, you can get started on your journey to creating your own sensor-based projects and taking your skills to the next level. So, grab your Arduino and MPU-9250 sensor and get ready to unleash your creativity!

 

 

If you appreciate our work don't forget to share this post and leave your opinion in the comment box.

 

Please do check out other blog posts about Interfacing ACS712 with Arduino , Arduino Interfacing with Ultrasonic Sensor , LED Interfacing with Arduino , Interfacing GSM Module with Arduino , Interfacing MAX30100 Pulse Oximeter with Arduino , IR Sensor Interfacing with Arduino , How to connect ZMPT101B to Arduino and  How to use Buzzer with Arduino.

 

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Excerpt
MPU-9250 is a 9-axis Inertial measurement module that is a Micro Electro Mechanical Systems configuration (MEMS). IMUs are used as real-time tracking devices to give acceleration, angular velocity, and magnetic field information on all three dimensions (x, y, and z) with high speed and accuracy.
Frequently Asked Questions

1. What is a MPU-9250?

MPU-9250 is a dope little piece of tech that's got everything you need for motion tracking in one package. It's got a 3-axis gyroscope, a 3-axis accelerometer, and a 3-axis magnetometer all rolled up into a single chip. People are using it in all kinds of sick applications, from drones to VR headsets to gaming devices that use motion control. And the best part? It's small and low-power, so you can take it with you anywhere without worrying about it draining your battery.

2. What is the use of MPU-9250?

The MPU-9250 sensor module is a combination of a 3-axis accelerometer, a 3-axis gyroscope, and a 3-axis magnetometer in one compact package. This thing is perfect for projects that need precise motion tracking and orientation sensing, like drones, robots, and virtual reality systems. It gives you super accurate data and can connect to microcontrollers using interfaces like SPI or I2C. No wonder it's a go-to choice for a lot of projects.

3. What is the MPU-9250 sensor?

The MPU-9250 is a robust 9-axis motion tracking device that combines a 3-axis accelerometer, a 3-axis gyroscope, and a 3-axis magnetometer. It’s designed for various applications in robotics and electronics, providing accurate motion and orientation data. Ideal for projects like drones or wearable devices, it’s widely used for enhancing navigation and movement tracking capabilities.

4. What does 9-DOF mean?

9-DOF stands for nine degrees of freedom, indicating the sensor's ability to measure motion in three dimensions. This includes three axes for acceleration, three for angular velocity, and three for magnetic field strength. Understanding 9-DOF enables developers to capture comprehensive motion data, making it perfect for applications like augmented reality or motion tracking in robotics.

5. How to connect MPU-9250 to Arduino?

To connect the MPU-9250 to an Arduino, use the I2C interface. Connect VCC to 3.3V or 5V, GND to ground, SDA to A4 (on Uno), and SCL to A5. Ensure to use pull-up resistors on SDA and SCL lines. Once connected, you can easily interact with the sensor using Arduino libraries for communication and data retrieval.

6. How to read acceleration and gyro data?

To read acceleration and gyro data from the MPU-9250, use an Arduino library like MPU9250.h. After initializing the sensor, call functions to read accelerometer and gyroscope values. The data can be accessed via specific registers, giving real-time measurements for each axis. This allows you to utilize the sensor’s data in your projects effectively.

7. What libraries are needed for MPU-9250?

For the MPU-9250, commonly used libraries include MPU9250.h and Adafruit_MPU6050.h. These libraries simplify communication between the sensor and Arduino by providing functions to read sensor data effortlessly. Installing these libraries allows for efficient coding and better integration into robotics and electronics projects.

8. How to calibrate the magnetometer?

Calibrating the magnetometer involves rotating the MPU-9250 in multiple orientations. This helps eliminate hard and soft iron distortions in the magnetic field. Use a calibration tool or write a simple script on Arduino to log sensor output while moving the sensor in a figure eight. Ensure your data is adjusted for accurate readings in navigation applications.

9. Can MPU-9250 detect motion and orientation?

Yes, the MPU-9250 excels at detecting motion and orientation. With its 9-DOF capability, it combines accelerometer and gyroscope data to determine direction and speed of movement accurately. This makes it suitable for applications like drones, robotics, and smartphones, where precise motion sensing is crucial.

10. How to visualize data in Arduino IDE?

To visualize data in the Arduino IDE, you can use the Serial Plotter feature. After reading the data from the MPU-9250, send it to the serial monitor. Use the Serial.print() function for each measurement. The Serial Plotter will graph the real-time data, providing a clear visual representation of motion and orientation changes.

11. What are the sensor’s communication protocols?

The MPU-9250 primarily uses the I2C communication protocol for data transfer. It can also operate via SPI, though I2C is more common in Arduino projects due to its simplicity and fewer required connections. Understanding these protocols is essential for integrating the sensor into various electronics and robotics applications.

12. What are real-world applications of MPU-9250?

The MPU-9250 is used in numerous real-world applications, including drones, smartphones, robotics, and gaming devices. Its ability to track motion and orientation makes it perfect for augmented reality, autonomous navigation, and wearable technology. The versatility of the sensor enables innovative solutions in various fields like health monitoring and virtual reality.

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