esp-idf-mpu6050-dmp

A demo showing the pose of the mpu6050 in 3D using esp-idf.

MPU6050 has an internal processing function called DMP (Digital Motion Processor).
You can use this to get Euler angles.
Euler angles are roll, pitch and yaw.
It's very intuitive and easy to understand.

Installation overview

Perform a calibration of your sensor.
Embed the calibration value of the sensor into the source.
Get Euler angles from IMU.
Display Euler angles in browser.

Software requiment

ESP-IDF V4.4/V5.x.
ESP-IDF V5.0 is required when using ESP32-C2.
ESP-IDF V5.1 is required when using ESP32-C6.

Hardware requirements

MotionTracking device with DMP function.

From the left MPU9250 MPU6500 MPU6050 GY-87

MPU6000/6050/6500/6555/9150/9225/9250/9255

MPU9150/9225/9250/9255 is a multi-chip module (MCM) consisting of two dies integrated into a single LGA/QFN package.
One die houses the 3-Axis gyroscope and the 3-Axis accelerometer.
The other die houses the AK8975 3-Axis magnetometer from Asahi Kasei Microdevices Corporation.
Since the AK8963 is connected as a slave device, it is not recognized as an i2c device.

Device	Reg#117	sensors	Compass
MPU6000	0x68	Gyro/Accel
MPU6050	0x68	Gyro/Accel
MPU6500	0x70	Gyro/Accel
MPU6555	0x7C	Gyro/Accel
MPU9150	0x68	Gyro/Accel/Compass	AK8963
MPU9225	0x73	Gyro/Accel/Compass	AK8963
MPU9250	0x71	Gyro/Accel/Compass	AK8963
MPU9255	0x73	Gyro/Accel/Compass	AK8963

GY-86

GY-86 consists of three chips, MPU6050, HMC5883L and MS5611.
The HMC5883L is 3-Axis magnetometer from Honeywell.
The MS5611 is Barometric Pressure Sensor from TE Connectivity.
Since the HMC5883L is connected as a slave device of MPU6050, it is not recognized as an i2c device.

GY-87

GY-87 consists of three chips, MPU6050, HMC5883L and BMP180.
The HMC5883L is 3-Axis magnetometer from Honeywell.
The BMP180 is Barometric Pressure Sensor from Bosch Sensortec.
Since the HMC5883L is connected as a slave device of MPU6050, it is not recognized as an i2c device.

M5 Product

Some M5 products have an IMU built in.
M5Stack Gray/Fire/Faces/M5GO is equipped with MPU9250 or MPU6886.
M5Core2 is equipped with MPU9250.
M5StickC is equipped with SH200Q or MPU6886.
M5StickC Plus/Plus2 is equipped with MPU6886.
ATOM Matrix/ATOM S3 is equipped with MPU6886.
MPU6886 does not support DMP.
MPU6050_KALMAN/MPU6050_MADGWICK can be used in MPU6886.

About M5Stick
M5Stick has a regular version and an MPU9250 version.
The regular version does not have an IMU.
MPU9250 version supports DMP.

You can check the built-in IMU using IMU_Detect.

Wireing

MPU6xxx/9xxx		ESP32	ESP32-S2/S3	ESP32-C2/C3/C6
VCC	--	3.3V	3.3V	3.3V
GND	--	GND	GND	GND
SCL	--	GPIO22	GPIO12	GPIO5	(*1)
SDA	--	GPIO21	GPIO11	GPIO4	(*1)

GY-86/87		ESP32	ESP32-S2/S3	ESP32-C2/C3/C6
VCC_IN	--	N/C	N/C	N/C
3.3V	--	3.3V	3.3V	3.3V
GND	--	GND	GND	GND
SCL	--	GPIO22	GPIO12	GPIO5	(*1)
SDA	--	GPIO21	GPIO11	GPIO4	(*1)

(*1)You can change it to any pin using menuconfig.

Perform a calibration of your sensor

I based on this.

git clone https://github.com/nopnop2002/esp-idf-mpu6050-dmp
cd esp-idf-mpu6050-dmp/IMU_Zero
idf.py set-target {esp32/esp32s2/esp32s3/esp32c2/esp32c3/esp32c6}
idf.py menuconfig
idf.py flash

More details on configuration is here.

It will take a few minutes for the calibration to complete.
The serial monitor should show results similar to the following.
If -- done -- is displayed, it is completed.

....................    XAccel                  YAccel                          ZAccel                  XGyro                   YGyro                   ZGyro
 [-2891,-2889] --> [-10,3]      [-445,-444] --> [-17,1] [697,698] --> [16381,16400]     [148,149] --> [-1,2]    [26,27] --> [-1,2]      [16,17] --> [-2,1]
.................... [-2890,-2889] --> [-5,3]   [-445,-444] --> [-17,1] [697,698] --> [16375,16400]     [148,149] --> [0,2]     [26,27] --> [0,2]       [16,17] --> [-2,1]
.................... [-2890,-2889] --> [-10,3]  [-445,-444] --> [-16,1] [697,698] --> [16373,16400]     [148,149] --> [0,2]     [26,27] --> [0,2]       [16,17] --> [-1,1]
-------------- done --------------

The last line is your offset value.
We need 6 values XAccelOffset, YAccelOffset, ZAccelOffset, XGyroOffset, YGyroOffset, ZGyroOffset. In this example:

XAccelOffset = -2889
YAccelOffset = -444
ZAccelOffset = 698
XGyroOffset = 149
YGyroOffset = 27
ZGyroOffset = 17

Embed the calibration value of the sensor into the source

Change the offset values below:

cd esp-idf-mpu6050-dmp/MPU6050_DMP6/main
vi mpu6050.cpp
    // This need to be setup individually
    // supply your own gyro offsets here, scaled for min sensitivity
    mpu.setXAccelOffset(-2889);
    mpu.setYAccelOffset(-444);
    mpu.setZAccelOffset(698);
    mpu.setXGyroOffset(149);
    mpu.setYGyroOffset(27);
    mpu.setZGyroOffset(17);

Get Euler angles from IMU

I based on this.

cd esp-idf-mpu6050-dmp/MPU6050_DMP6
idf.py set-target {esp32/esp32s2/esp32s3/esp32c2/esp32c3/esp32c6}
idf.py menuconfig
idf.py flash

More details on configuration is here.

View Euler angles with built-in web server

ESP32 acts as a web server.
I used this component.
This component can communicate directly with the browser.
Enter the following in the address bar of your web browser.

http:://{IP of ESP32}/
or
http://esp32.local/

WEB pages are stored in the html folder.
I used this for gauge display.
I used this for 3D display.
You can change the design and color according to your preference.

View Euler angles using PyTeapot

You can view Euler angles using this tool.
It works as a UDP display server.
This is a great application.

+-------------+         +-------------+         +-------------+
|     IMU     |         |    ESP32    |         | pyteapot.py |
|             |--(ic2)->|             |--(UDP)->|             |
|             |         |             |         |             |
+-------------+         +-------------+         +-------------+

Installation

$ sudo apt install python3-pip python3-setuptools
$ python3 -m pip install -U pip
$ python3 -m pip install pygame
$ python3 -m pip install PyOpenGL PyOpenGL_accelerate
$ git clone https://github.com/thecountoftuscany/PyTeapot-Quaternion-Euler-cube-rotation
$ cd PyTeapot-Quaternion-Euler-cube-rotation
$ python3 pyteapot.py

The posture of your sensor is displayed.

Using IMU Filter

You can use Kalman and Madgwick filters instead of DMP.
DMP estimates Euler angles in-device, whereas these filters estimate Euler angles purely in software.

MPU6050_KALMAN
Estimation using MPU6050 and KALMAN filter.
MPU6050_MADGWICK
Estimation using MPU6050 and MADGWICK filter.
MPU9250_KALMAN
Estimation using MPU9250 and KALMAN filter.
MPU9250_MADGWICK
Estimation using MPU9250 and MADGWICK filter.
MPU6050_HMC5883L_KALMAN
Estimation using MPU6050 + HMC5883L and KALMAN filter.
MPU6050_HMC5883L_MADGWICK
Estimation using MPU6050 + HMC5883L and MADGWICK filter.