Pico 10DOF IMU
The Pico-10DOF-IMU is an IMU sensor expansion module specialized for Raspberry Pi Pico. It incorporates sensors including a gyroscope, accelerometer, magnetometer, and baroceptor, and uses an I2C bus for communication.
Combined with the Raspberry Pi Pico, it can be used to collect environment sensing data like temperature and barometric pressure or to easily DIY a robot that detects motion gestures and orientations.
- Standard Raspberry Pi Pico header supports Raspberry Pi Pico series.
- Onboard MPU9250 (3-axis gyroscope, 3-axis accelerometer, and 3-axis magnetometer) for detecting motion gesture, orientation, and magnetic field.
- Onboard LPS22HB barometric pressure sensor, for sensing the atmospheric pressure of the environment.
- Provides online complete manual and resources (example programs such as Raspberry Pi Pico C/C++ and Micro Python).
|Acceslerometer||Resolution: 16 bits|
Measuring range (optional): ±2, ±4, ±8, ±16g
Operating current: 450uA
|Gyroscope||Resolution: 16 bits|
Measuring range (optional): ±250, ±500, ±1000, ±2000°/sec
Operating current: 3.2mA
|Magnetometer||Resolution: 14 bits|
Measuring range: ±4800µT
Operating current: 280uA
|Baroceptor||Measuring range: 260 ~ 1260hPa|
Measuring accuracy (ordinary temperature): ±0.025hPa
Measuring speed: 1Hz - 75Hz
- Pico-10DOF-IMU has three revisions:
- 1. USB silkscreen update, add XYZ axis silkscreen and add 0R resistor for power management.
- 2. The FSYNC, ICM.INT, and LPS.INT pins are respectively connected to two groups of GPIOs with 0-ohm resistors to avoid GPIO conflicts when sharing with other modules.
- 3. Use MPU9250 instead of ICM20948, and change the silkscreen name to Pico-10DOF-IMU Rev2.1.
1. Note that the USB Logo on the Pico-10DOF-IMU Rev2.1 corresponds to the USB connection direction of the Raspberry Pi Pico.
2. When downloading the C program, be sure to press and hold the BOOT key before connecting the USB cable.
The axes of the accelerometer, gyroscope, and magnetometer on the MPU9250 are shown in the figure below. The magnetometer on the MPU9250 will be interfered with by hard magnetic, so when the data read by the magnetometer is fitted with an ellipsoid, the sphere is off-center and does not Circle. This will bring an initial magnetic field offset to the magnetometer, making the magnetometer data eccentric. The magnetometer needs to be initialized when the power is turned on. Please refer to the initialization chapter below.
1. Pico-10DOF-IMU Rev2.1 uses GPIO as shown in the figure above, in which SDA (GPIO6), SCL (GPIO7) pins are fixedly connected, MPU9250 INT (GPIO4), FSYNC (GPIO22), LPS22HB INT (GPIO5) can be connected through 0R The resistance change connection pins are MPU9250 INT (GPIO22), FSYNC (GPIO16), LPS22HB INT (GPIO3), click to view the schematic diagram for details.
2. The 40Pin of Pico-10DOF-IMU Rev2.1 is powered by the VSYS pin of Raspberry Pi Pico by default. If you want to turn off the 10DOS power supply, you can solder the 0R of R13 to R15 so that you can use the GPIO14 of Raspberry Pi Pico to turn on /off the 10DOF power supply. Please click to view the schematic diagram for details.
3. If you want to use the 3.3V of Pico as the power supply, you can solder the 0R of R13 to R12. Please click to view the schematic diagram for details.
4. If you want to remove the LED of Pico-10DOF-IMU Rev2.1 and the 0R on the R11, you can click to view the schematic diagram for details.
- The Pico-10DOF-IMU onboard MPU9250 uses the I2C bus for communication. The read and write timing diagram is shown in the figure below. For more details, please refer to datasheet.
- Raspberry Pi Pico, as the Master device, pulls down SDA successively, and the SCL pin initiates the START condition of the I2C bus, and then writes the device address (7bits) and write command (1bit) with a total of 8 bits of data. If the pin is connected correctly, 10ODF is used as the slave device. Send an ACK response.
- Raspberry Pi Pico continues to write the register address (RA) and register value (DATA) respectively and waits for the ACK response. After writing, the Raspberry Pi Pico pulls up SCL successively, and the SDA pin sends a STOP condition.
- If the Raspberry Pi Pico reads the DATA of the register (RA), when writing RA and waiting for the ACK response, it re-initiates the START condition, and then writes the device address (7bits) and the read command (1bit) for a total of 8bits and waits for the ACK response. 10DOF returns to DATA. After Pico receives DATA, keep SDA high.
- Please refer to the burst Read/Write Sequence in the figure above for the continuous write register value.
- We test the code with Arduino IDE and Thony, click to download the related IDE, and open them after installation.
1. Install Pico SDK on Arduino IDE, click Tools->Board->Boards Manager, then search "Raspberry Pi Pico", and find the corresponding libraries to install.
2. Please refer to Micropython official document and set up python environment, select the Raspberry Pi Pico device in Thonny's Tools->Options->Interprete, as shown as below.
- Click to download sample demo.
- Unzip the sample demo, click .ino directly to open the Arduino sample demo, and upload the Micorpython sample demo to the Pico file system, as shown in the figure.
1. Press and hold the BOOT button on the Pico and then connect the USB cable, open the .ino sample demo, click the menu bar and select Tools->Board->Raspberry Pi Pico. As shown in the figure below.
2. Click upload under Edit to download the code to Pico. After downloading, open the device manager to view the virtual COM number of Pico, and then select the corresponding COM number in Tools->Ports.
3. Click to open Monitor Serial at the top right of the Arduino IDE, and follow the serial port prompts to initialize the Pico-10DOF-IMU. For details, please refer to the Pico-10DOF-IMU initialization chapter.
- Open the mpu9250.py, lps22hb.py scripts in the Pico file system, and click Run to run, where mpu9250.py will output relevant information to initialize the configuration of Pico-10DOF-IMU, as shown in the figure below, please refer to Pico-10DOF for the detailed process -IMU initialization chapter.
- The magnetometer on the MPU9250 will be interfered with by the hard magnetic field. When the ellipsoid fitting is performed on the data read by the magnetometer, the sphere is off-center and not round. This will bring an initial magnetic field offset to the magnetometer, making the magnetometer Data eccentricity, as shown in the figure below:
- After power-on, initialize according to the prompt information sent by the serial port. Calculate the eccentric offset value of the magnetometer, as shown in the following figure:
This section briefly analyzes the mpu9250.py sample program.
- mpu9250 = MPU9250() instantiates the MPU9250 class. The instantiation process will include gyroscope initialization and geomagnetic calibration.
- mpu9250.readAccel() , mpu9250.readGyro() , mpu9250.readMagnet() respectively read raw data such as accelerometer, gyroscope, geomagnetometer, etc.
- mpu9250.imuAHRSupdate() is the mahony algorithm used to convert the values of the accelerometer, gyroscope and geomagnetometer into Euler angles (pitch, roll, yaw). Please click the link to view the detailed process of the mahony algorithm
- Euler angles are shown in the figure below:
mpu9250 = MPU9250() try: while True: mpu9250.readAccel() mpu9250.readGyro() mpu9250.readMagnet() mpu9250.imuAHRSupdate(Gyro/32.8*0.0175, Gyro/32.8*0.0175,Gyro/32.8*0.0175, Accel,Accel,Accel, Mag, Mag, Mag) pitch = math.asin(-2 * q1 * q3 + 2 * q0* q2)* 57.3 roll = math.atan2(2 * q2 * q3 + 2 * q0 * q1, -2 * q1 * q1 - 2 * q2* q2 + 1)* 57.3 yaw = math.atan2(-2 * q1 * q2 - 2 * q0 * q3, 2 * q2 * q2 + 2 * q3 * q3 - 1) * 57.3 print("\r\n /-------------------------------------------------------------/ \r\n") print('\r\n Roll = %.2f , Pitch = %.2f , Yaw = %.2f\r\n'%(roll,pitch,yaw)) print('\r\nAcceleration: X = %d , Y = %d , Z = %d\r\n'%(Accel,Accel,Accel)) print('\r\nGyroscope: X = %d , Y = %d , Z = %d\r\n'%(Gyro,Gyro,Gyro)) print('\r\nMagnetic: X = %d , Y = %d , Z = %d'%((Mag),Mag,Mag)) time.sleep(0.1) except KeyboardInterrupt: sys.exit()
Pico Quick Start
- MicroPython Firmware Download
- C_Blink Firmware Download
- Pico Tutorial I - Basic Introduction
- Pico Tutorial II - GPIO
- Pico Tutorial III - PWM
- Pico Tutorial IV - ADC
- Pico Tutorial V - UART
- Pico Tutorial VI - To be continued...
- 【MicroPython】 machine.Pin Function
- 【MicroPython】 machine.PWM Function
- 【MicroPython】 machine.ADC Function
- 【MicroPython】 machine.UART Function
- 【MicroPython】 machine.I2C Function
- 【MicroPython】 machine.SPI Function
- 【MicroPython】 rp2.StateMachine
Arduino IDE Series
Install Arduino IDE
Download the Arduino IDE installation package from Arduino website.
Just click on "JUST DOWNLOAD".
Click to install after downloading.
Note: You will be prompted to install the driver during the installation process, we can click Install.
Install Arduino-Pico Core on Arduino IDE
Open Arduino IDE, click the File on the left corner and choose "Preferences".
Add the following link in the additional development board manager URL, then click OK.
Click on Tools -> Dev Board -> Dev Board Manager -> Search for pico, it shows installed since my computer has already installed it.
Upload Demo At the First Time
Press and hold the BOOTSET button on the Pico board, connect the Pico to the USB port of the computer via the Micro USB cable, and release the button when the computer recognizes a removable hard drive (RPI-RP2).
- Download the demo, open arduino\PWM\D1-LED path under the D1-LED.ino.
Click Tools -> Port, remember the existing COM, do not need to click this COM (different computers show different COM, remember the existing COM on your computer).
Connect the driver board to the computer with a USB cable, then click Tools -> Ports, select uf2 Board for the first connection, and after the upload is complete, connecting again will result in an additional COM port.
Click Tool -> Dev Board -> Raspberry Pi Pico/RP2040 -> Raspberry Pi Pico.
After setting, click the right arrow to upload.
- If you encounter problems during the period, you need to reinstall or replace the Arduino IDE version, uninstall the Arduino IDE needs to be uninstalled cleanly, after uninstalling the software you need to manually delete all the contents of the folder C:\Users\[name]\AppData\Local\Arduino15 (you need to show the hidden files in order to see it) and then reinstall.
Pico-W Series Tutorial (To be continued...)
Open Source Demo
- MicroPython Demo (GitHub)
- MicroPython Firmware/Blink Demo (C)
- Official Raspberry Pi C/C++ Demo
- Official Raspberry Pi MicroPython Demo
- Arduino Official C/C++ Demo