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How to Use SparkFun IMU Breakout - MPU-9250: Examples, Pinouts, and Specs

Image of SparkFun IMU Breakout - MPU-9250
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Introduction

The SparkFun IMU Breakout - MPU-9250 is a compact, high-performance 9-axis motion tracking device that combines a 3-axis accelerometer, a 3-axis gyroscope, and a 3-axis magnetometer. This integrated sensor package is ideal for a wide range of applications, including robotics, drone flight control, virtual reality, and motion analysis. The MPU-9250 communicates via I2C or SPI, offering flexibility for various microcontroller interfaces.

Explore Projects Built with SparkFun IMU Breakout - MPU-9250

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
ESP32-Controlled Multi-MPU6050 and MPU9250 IMU Data Aggregator
Image of gant vr: A project utilizing SparkFun IMU Breakout - MPU-9250 in a practical application
This circuit features an ESP32 microcontroller interfaced with multiple MPU-6050 sensors and a single MPU-9250 sensor through an Adafruit TCA9548A I2C multiplexer, allowing for the reading of multiple inertial measurement units (IMUs) over the same I2C bus. The ESP32 collects and processes acceleration and gyroscopic data from the sensors to calculate angles in the X and Y axes. Power management is handled by a TP4056 charging module and an AMS1117 voltage regulator, which together with two 18650 Li-ion batteries, provide a stable power supply for the microcontroller and sensors.
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Arduino UNO-Based Sensor Data Acquisition System with Bluetooth and Wi-Fi Connectivity
Image of smrpe: A project utilizing SparkFun IMU Breakout - MPU-9250 in a practical application
This circuit is a multi-sensor data acquisition system with wireless communication capabilities. It utilizes an Arduino UNO to interface with an MPU-6050 gyroscope, an Adafruit ADXL345 accelerometer, an Adafruit MPR121 capacitive touch sensor, and a SparkFun Electret Microphone for audio input. The system can transmit sensor data via an HC-05 Bluetooth module and an ESP8266 WiFi module, and it includes a bi-directional logic level converter for voltage level matching between devices. The circuit is powered by a 9V battery connected to the Arduino's Vin pin.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino UNO and MPU-6050 Based Motion Sensing System with I2C Interface
Image of mpu6050new: A project utilizing SparkFun IMU Breakout - MPU-9250 in a practical application
This circuit features an Arduino UNO connected to an MPU-6050 accelerometer and gyroscope sensor via an I2C module. The Arduino UNO provides power to the sensor and communicates with it using the I2C protocol, enabling the collection of motion and orientation data.
Cirkit Designer LogoOpen Project in Cirkit Designer
Arduino UNO and MPU6050-Based Motion Sensing System
Image of SENSORS LAB: A project utilizing SparkFun IMU Breakout - MPU-9250 in a practical application
This circuit interfaces an MPU6050 Accelerometer and Gyroscope with an Arduino UNO. The MPU6050 is powered by the Arduino's 3.3V and GND pins, and communicates with the Arduino via the I2C protocol using the SDA and SCL lines connected to the Arduino's A4 and A5 pins, respectively.
Cirkit Designer LogoOpen Project in Cirkit Designer

Explore Projects Built with SparkFun IMU Breakout - MPU-9250

Use Cirkit Designer to design, explore, and prototype these projects online. Some projects support real-time simulation. Click "Open Project" to start designing instantly!
Image of gant vr: A project utilizing SparkFun IMU Breakout - MPU-9250 in a practical application
ESP32-Controlled Multi-MPU6050 and MPU9250 IMU Data Aggregator
This circuit features an ESP32 microcontroller interfaced with multiple MPU-6050 sensors and a single MPU-9250 sensor through an Adafruit TCA9548A I2C multiplexer, allowing for the reading of multiple inertial measurement units (IMUs) over the same I2C bus. The ESP32 collects and processes acceleration and gyroscopic data from the sensors to calculate angles in the X and Y axes. Power management is handled by a TP4056 charging module and an AMS1117 voltage regulator, which together with two 18650 Li-ion batteries, provide a stable power supply for the microcontroller and sensors.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of smrpe: A project utilizing SparkFun IMU Breakout - MPU-9250 in a practical application
Arduino UNO-Based Sensor Data Acquisition System with Bluetooth and Wi-Fi Connectivity
This circuit is a multi-sensor data acquisition system with wireless communication capabilities. It utilizes an Arduino UNO to interface with an MPU-6050 gyroscope, an Adafruit ADXL345 accelerometer, an Adafruit MPR121 capacitive touch sensor, and a SparkFun Electret Microphone for audio input. The system can transmit sensor data via an HC-05 Bluetooth module and an ESP8266 WiFi module, and it includes a bi-directional logic level converter for voltage level matching between devices. The circuit is powered by a 9V battery connected to the Arduino's Vin pin.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of mpu6050new: A project utilizing SparkFun IMU Breakout - MPU-9250 in a practical application
Arduino UNO and MPU-6050 Based Motion Sensing System with I2C Interface
This circuit features an Arduino UNO connected to an MPU-6050 accelerometer and gyroscope sensor via an I2C module. The Arduino UNO provides power to the sensor and communicates with it using the I2C protocol, enabling the collection of motion and orientation data.
Cirkit Designer LogoOpen Project in Cirkit Designer
Image of SENSORS LAB: A project utilizing SparkFun IMU Breakout - MPU-9250 in a practical application
Arduino UNO and MPU6050-Based Motion Sensing System
This circuit interfaces an MPU6050 Accelerometer and Gyroscope with an Arduino UNO. The MPU6050 is powered by the Arduino's 3.3V and GND pins, and communicates with the Arduino via the I2C protocol using the SDA and SCL lines connected to the Arduino's A4 and A5 pins, respectively.
Cirkit Designer LogoOpen Project in Cirkit Designer

Technical Specifications

Key Technical Details

  • Supply Voltage (VDD): 2.4V - 3.6V
  • Operating Current: 3.2mA
  • Gyroscope Range: ±250, ±500, ±1000, ±2000 degrees/sec
  • Accelerometer Range: ±2g, ±4g, ±8g, ±16g
  • Magnetometer Range: ±4800µT
  • Communication: I2C (up to 400kHz) and SPI (up to 1MHz)
  • Operating Temperature Range: -40°C to +85°C

Pin Configuration and Descriptions

Pin Number Pin Name Description
1 VDD Power supply (2.4V - 3.6V)
2 GND Ground connection
3 SDA/SDI I2C Data Line / SPI Serial Data In
4 SCL/SCLK I2C Clock Line / SPI Serial Clock
5 NCS SPI Chip Select (Active Low)
6 INT Interrupt Output
7 FSYNC Frame Synchronization (Optional)
8 AD0/SDO I2C Address Selection / SPI Serial Data Out

Usage Instructions

Integration with a Circuit

To use the MPU-9250 in a circuit:

  1. Connect VDD to a 2.4V - 3.6V power supply.
  2. Connect GND to the ground of your power supply.
  3. For I2C communication, connect SDA/SDI to your microcontroller's SDA line and SCL/SCLK to the SCL line.
  4. For SPI communication, connect SDA/SDI, SCL/SCLK, NCS, and AD0/SDO to the corresponding SPI pins on your microcontroller.
  5. Optionally, connect INT to an interrupt-capable pin on your microcontroller to use the interrupt feature.
  6. If using the FSYNC feature, connect it to a digital output on your microcontroller.

Important Considerations and Best Practices

  • Ensure that the power supply is within the specified voltage range to prevent damage.
  • Use pull-up resistors on the I2C lines if your microcontroller does not have built-in pull-ups.
  • When using SPI, ensure that the NCS pin is pulled high to disable the device when not in use.
  • For accurate readings, calibrate the magnetometer in the environment where it will be used.
  • Avoid placing the MPU-9250 near magnetic fields that could interfere with the magnetometer.

Example Code for Arduino UNO

#include <Wire.h>
#include <MPU9250.h>

MPU9250 IMU(Wire, 0x68);
int status;

void setup() {
  Serial.begin(115200);
  while (!Serial) {} // Wait for serial port to connect

  status = IMU.begin();
  if (status < 0) {
    Serial.println("IMU initialization unsuccessful");
    Serial.println("Check IMU wiring or try cycling power");
    while (1) {}
  }
}

void loop() {
  if (IMU.readSensor() == 0) {
    Serial.print("AccelX: ");
    Serial.print(IMU.getAccelX_mss(), 6);
    Serial.print("\tGyroX: ");
    Serial.print(IMU.getGyroX_rads(), 6);
    Serial.print("\tMagX: ");
    Serial.print(IMU.getMagX_uT(), 6);
    Serial.println();
    // Add additional print statements for other axes as needed
  }
  delay(100);
}

Troubleshooting and FAQs

Common Issues

  • No data or incorrect data: Ensure that the wiring is correct and that the correct communication protocol (I2C/SPI) is selected in your code.
  • Inaccurate readings: Calibrate the sensor, especially the magnetometer, and ensure that there are no interfering magnetic fields.
  • Device not recognized: Check the power supply and connections. Also, verify that the correct I2C address or SPI chip select is used.

Solutions and Tips for Troubleshooting

  • Double-check all connections and solder joints.
  • Use a logic analyzer or oscilloscope to verify communication signals.
  • Reset the power to the MPU-9250 if it is unresponsive.
  • Consult the MPU-9250 datasheet for detailed information on registers and configuration settings.

FAQs

Q: Can the MPU-9250 be used with a 5V microcontroller? A: Yes, but ensure that the power supply to the MPU-9250 is within the specified range and use logic level converters for communication lines.

Q: How do I change the I2C address of the MPU-9250? A: The I2C address can be changed by connecting the AD0/SDO pin to VDD or GND.

Q: What is the default I2C address of the MPU-9250? A: The default I2C address is 0x68 when AD0/SDO is connected to GND and 0x69 when connected to VDD.

Q: How can I verify that my MPU-9250 is functioning correctly? A: Run the example code provided and check the serial output for consistent and reasonable data readings.