yahboom
HomeLearn
Solution
Blog
Online Store
About Us
EN/中文
RDK X5 Robot📖
01. RDK-X5-Robot Introduction
  • 1.Introduction
  • 2.Common Problem Analysis
  • 3.Battery and charger usage precautions
  • 4.TF card expand capacity
02. Assembly Tutorial
  • Assembly Tutorial
  • Assembly Video-1
  • Assembly Video-2
  • Assembly Video-3
  • Assembly Video-4
03. Remote Control Course
  • 1.Mobile APP remote control
  • 2.USB Wireless Controller Remote Control
04. ROS Driver Board Course
  • 1. Introduction of extension board
  • 2. Set up STM32 development environment
  • 3. Key control buzzer sound
  • 4. FreeRTOS application
  • 5. Serial communication
  • 6. SBUS model remote control
  • 7. CAN bus communication
  • 8. RGB color light strip
  • 9. Timer interrupt control PWM servo
  • 10. Control serial steering gear
  • 11. Nine-axis attitude sensor to obtain data
  • 12. Control motor forward and reverse
  • 13. The timer captures encoder data
  • 14. Theory of robot kinematics analysis
  • 15. PID control robot motion
05. Basic Control Course
  • 1.Update expansion board firmware
  • 2.Install Python driver library
  • 3.Set the car type
  • 4.Open and close APP program control
  • 5.Turn hotspot mode on and off
  • 6.Buzzer sound
  • 7.Control the motor to rotate forward and reverse
  • 8.Controlling robot movement
  • 9.OLED display
  • 10.Control fans and lighting effects
06. Development Environment
  • 1. Virtual machine installation and use
  • 2. Linux Basics
  • 3. Remote connection
  • 4. Multi-machine communication configuration
  • 5. Bind device ID
  • 6. Image installation and backup
07. ROS2 Basic Course
  • 1. Introduction to ROS2
  • 2. ROS2 install Humble
  • 3. ROS2 development environment
  • 4. ROS2 workspace
  • 5. ROS2 function package
  • 6. ROS2 node
  • 7. ROS2 topic communication
  • 8. ROS2 service communication
  • 9. ROS2 action communication
  • 10. ROS2 custom interface message
  • 11. ROS2 parameter service case
  • 12. ROS2 meta-function package
  • 13. ROS2 distributed communication
  • 14. ROS2 DDS
  • 15. ROS2 time related API
  • 16. ROS2 common command tools
  • 17. ROS2 rviz2 use
  • 18. ROS2 rqt toolbox
  • 19. ROS2 Launch startup file configuration
  • 20. ROS2 recording and playback tool
  • 21. ROS2 URDF model
  • 22. ROS2 Gazebo simulation platform
  • 23. ROS2 TF2 coordinate transformation
08. Robot Chassis Control Course
  • 1. PID algorithm theory
  • 2. Robot information release
  • 3. Robot control
  • 4. Robot state estimation
  • 5. Robot calibration
  • 6. Robot trajectory tracking
  • 7. URDF Model
09. LiDAR Course
  • 1. Introduction and use of lidar
  • 2. Lidar obstacle avoidance
  • 3. Lidar tracking
  • 4. Lidar guard
  • 5. Lidar patrol
  • 6. gmapping mapping algorithm
  • 7. Cartographer mapping algorithm
  • 8. Navigation and obstacle avoidance
  • 9. App Mapping and Navigation
10. OpenCV Course
  • 1. Getting started with OpenCV
  • 2. OpenCV geometric transformation
  • 3. OpenCV Image Processing
  • 4. OpenCV image beautification
  • 5. QR code creation and recognition
11. Mipi Camera Course
  • 1. Camera driver
  • 2. Adjust the color HSV value
  • 3. Color recognition
  • 4. Color Tracking
  • 5. Color Follow
  • 6. QR code instructions
  • 7. Face Detection
  • 8. Object Detection
  • 9. Visual line patrol-OpenCV
  • 10. Visual line patrol-deep learning
  • 11. Human body tracking
  • 12. Gesture control
12. Depth Camera Course
  • 1. Use of Depth Camera
  • 2. Camera intrinsic calibration
  • 3. ROS+OpenCV Basics
  • 4. AR Vision
  • 5. Color Tracking
  • 6. Object Tracking
  • 7. RTAB-Map 3D Mapping Navigation
13. Multi-robot Synchronous Control
  • Multi-vehicle synchronous control
Remote login control
  • 1. VNC and SSH remote login
  • 2. Jupyter lab login and case code running
Download
  • System_File
  • Code
  • VM_File
  • Software_Tools
  • Hardware_Info
  • Firmware
  • Instruction_Manual
  • ROS2_Basic_VM
Download ZIP

Welcome to RDK X5 Robot repository

11. Nine-axis attitude sensor to obtain data

11. Nine-axis attitude sensor acquisition data -ICM20948

11. Nine-axis attitude sensor acquisition data -ICM2094811.1. Experimental purpose11.2. Configure pin information11.3. Analysis of experimental flow chart11.4. Core code interpretation11.5. Hardware connection11.6. Experimental effect

11.1. Experimental purpose

Using the SPI communication of STM32, the original data of the nine-axis attitude sensor ICM20948 is read and printed out through the serial assistant.

11.2. Configure pin information

  1. Import the ioc file from the Serial project and name it Read_ICM20948.

According to the schematic diagram, the SDA/SDI pin of the nine-axis attitude sensor is connected to PB15, the SCL/SCLK pin is connected to PB13, the AD0/SDO pin is connected to PB14, and the NSS pin is connected to PB12.

image-20230606113411298

image-20220326160924577

  1. Enable SPI2 interface, set PB13, PB14 and PB15 as SPI2 pins, and use PB12 software to control NSS chip selection pins. Specific parameters are shown in the figure below:

image-20230605183103284

Then set PB12 to output mode and rename it ICM20948_CS

image-20230605183410441

11.3. Analysis of experimental flow chart

image-20220326163358899

11.4. Core code interpretation

  1. Create bSP_ICM209448.h and bsp_ICM209448.c, and add the following content to bsp_ICM209448.h:
xxxxxxxxxx
void ICM20948_init();
void AK09916_init();
​
// read raw data.
void ICM20948_gyro_read(raw_data_t* data);
void ICM20948_accel_read(raw_data_t* data);
bool AK09916_mag_read(raw_data_t* data);
​
// Convert 16 bits ADC value to their unit.
void ICM20948_gyro_read_dps(axises_t* data);
void ICM20948_accel_read_g(axises_t* data);
bool AK09916_mag_read_uT(axises_t* data);
​
bool ICM20948_who_am_i();
bool AK09916_who_am_i();
​
void ICM20948_Read_Data_Handle(void);
  1. Create the following content in the bsp_icm20948.c file:

Start initializing the ICM20948 by resetting and waking up the ICM20948, setting the clock source, magnetometer access, and filtering, then calibrating the gyroscope and accelerometer, and setting the scaling ratio.

xxxxxxxxxx
void ICM20948_init()
{
    while(!ICM20948_who_am_i());
​
    ICM20948_device_reset();
    ICM20948_wakeup();
​
    ICM20948_clock_source(1);
    ICM20948_odr_align_enable();
​
    ICM20948_spi_slave_enable();
​
    ICM20948_gyro_low_pass_filter(0);
    ICM20948_accel_low_pass_filter(0);
​
    ICM20948_gyro_sample_rate_divider(0);
    ICM20948_accel_sample_rate_divider(0);
​
    ICM20948_gyro_calibration();
    ICM20948_accel_calibration();
​
    ICM20948_gyro_full_scale_select(_2000dps);
    ICM20948_accel_full_scale_select(_16g);
}
  1. Initialize the AK09916 magnetometer.
xxxxxxxxxx
void AK09916_init()
{
    ICM20948_i2c_master_reset();
    ICM20948_i2c_master_enable();
    ICM20948_i2c_master_clk_frq(7);
    while(!AK09916_who_am_i());
    AK09916_soft_reset();
    AK09916_operation_mode_setting(continuous_measurement_100hz);
}
  1. Enable and disable SPI communication for ICM20948.
xxxxxxxxxx
static void ICM20948_NoActive()
{
    HAL_GPIO_WritePin(ICM20948_CS_GPIO_Port, ICM20948_CS_Pin, SET);
}
static void ICM20948_Active()
{
    HAL_GPIO_WritePin(ICM20948_CS_GPIO_Port, ICM20948_CS_Pin, RESET);
}
  1. The method of SPI reading data, read_single_reg reads one byte of data from a register, read_multiple_reg reads multiple bytes of data from a register.
xxxxxxxxxx
static uint8_t read_single_reg(userbank_t ub, uint8_t reg)
{
    uint8_t read_reg = READ | reg;
    uint8_t reg_val;
    select_user_bank(ub);
    ICM20948_Active();
    HAL_SPI_Transmit(ICM20948_SPI, &read_reg, 1, 1000);
    HAL_SPI_Receive(ICM20948_SPI, &reg_val, 1, 1000);
    ICM20948_NoActive();
    return reg_val;
}
static uint8_t* read_multiple_reg(userbank_t ub, uint8_t reg, uint8_t len)
{
    uint8_t read_reg = READ | reg;
    static uint8_t reg_val[6];
    select_user_bank(ub);
    ICM20948_Active();
    HAL_SPI_Transmit(ICM20948_SPI, &read_reg, 1, 1000);
    HAL_SPI_Receive(ICM20948_SPI, reg_val, len, 1000);
    ICM20948_NoActive();
    return reg_val;
}

6.SPI writes data. write_single_reg writes one byte of data to a register, and write_multiple_reg writes multiple bytes of data to a register.

xxxxxxxxxx
static void write_single_reg(userbank_t ub, uint8_t reg, uint8_t val)
{
    uint8_t write_reg[2];
    write_reg[0] = WRITE | reg;
    write_reg[1] = val;
    select_user_bank(ub);
    ICM20948_Active();
    HAL_SPI_Transmit(ICM20948_SPI, write_reg, 2, 1000);
    ICM20948_NoActive();
}
static void write_multiple_reg(userbank_t ub, uint8_t reg, uint8_t* val, uint8_t len)
{
    uint8_t write_reg = WRITE | reg;
    select_user_bank(ub);
    ICM20948_Active();
    HAL_SPI_Transmit(ICM20948_SPI, &write_reg, 1, 1000);
    HAL_SPI_Transmit(ICM20948_SPI, val, len, 1000);
    ICM20948_NoActive();
}
  1. Read the original accelerometer data. Since the calibration function cancels out the acceleration of gravity, the scale factor is added to the Z-axis to restore the reading value to normal.
xxxxxxxxxx
void ICM20948_accel_read(raw_data_t* data)
{
    uint8_t* temp = read_multiple_reg(ub_0, B0_ACCEL_XOUT_H, 6);
    data->x = (int16_t)(temp[0] << 8 | temp[1]);
    data->y = (int16_t)(temp[2] << 8 | temp[3]);
    // data->z = (int16_t)(temp[4] << 8 | temp[5]);
    data->z = (int16_t)(temp[4] << 8 | temp[5]) + g_scale_accel;
    // Add scale factor because calibraiton function offset gravity acceleration.
}

The raw accelerometer data and scale factor are combined to convert the unit to g.

xxxxxxxxxx
void ICM20948_accel_read_g(axises_t* data)
{
    ICM20948_accel_read(&g_raw_accel);
    data->x = (float)(g_raw_accel.x / g_scale_accel);
    data->y = (float)(g_raw_accel.y / g_scale_accel);
    data->z = (float)(g_raw_accel.z / g_scale_accel);
}
  1. Read the original gyroscope data.
xxxxxxxxxx
void ICM20948_gyro_read(raw_data_t* data)
{
    uint8_t* temp = read_multiple_reg(ub_0, B0_GYRO_XOUT_H, 6);
    data->x = (int16_t)(temp[0] << 8 | temp[1]);
    data->y = (int16_t)(temp[2] << 8 | temp[3]);
    data->z = (int16_t)(temp[4] << 8 | temp[5]);
}

The raw gyroscope data and scale factor are combined to convert the unit to dps.

xxxxxxxxxx
void ICM20948_gyro_read_dps(axises_t* data)
{
    ICM20948_gyro_read(&g_raw_gyro);
    data->x = (float)(g_raw_gyro.x / g_scale_gyro);
    data->y = (float)(g_raw_gyro.y / g_scale_gyro);
    data->z = (float)(g_raw_gyro.z / g_scale_gyro);
}
  1. Read the magnetometer raw data.
xxxxxxxxxx
bool AK09916_mag_read(raw_data_t* data)
{
    uint8_t* temp;
    uint8_t drdy, hofl;
    drdy = read_single_mag_reg(MAG_ST1) & 0x01;
    if(!drdy)   return false;
    temp = read_multiple_mag_reg(MAG_HXL, 6);
    hofl = read_single_mag_reg(MAG_ST2) & 0x08;
    if(hofl)    return false;
    data->x = (int16_t)(temp[1] << 8 | temp[0]);
    data->y = (int16_t)(temp[3] << 8 | temp[2]);
    data->z = (int16_t)(temp[5] << 8 | temp[4]);
    return true;
}

Convert the original magnetometer data into uT.

xxxxxxxxxx
bool AK09916_mag_read_uT(axises_t* data)
{
    bool new_data = AK09916_mag_read(&g_raw_mag);
    if(!new_data)   return false;
    data->x = (float)(g_raw_mag.x * 0.15);
    data->y = (float)(g_raw_mag.y * 0.15);
    data->z = (float)(g_raw_mag.z * 0.15);
    return true;
}
  1. Add the content to initialize ICM20948 and AK09916 in the Bsp_Init() function.
xxxxxxxxxx
void Bsp_Init(void)
{
    USART1_Init();
    ICM20948_init();
    AK09916_init();
    Beep_On_Time(50);
}
  1. Add the ability to read ICM20948 data to the Bsp_Loop() function.
xxxxxxxxxx
void Bsp_Loop(void)
{
    // Detect button down events
    if (Key1_State(KEY_MODE_ONE_TIME))
    {
        Beep_On_Time(50);
        static int press = 0;
        press++;
        printf("press:%d\n", press);
    }
    ICM20948_Read_Data_Handle();
​
    Bsp_Led_Show_State_Handle();
    // The buzzer automatically shuts down when times out
    Beep_Timeout_Close_Handle();
    HAL_Delay(10);
}

 

11.5. Hardware connection

The ICM20948 nine-axis attitude sensor is already soldered to the expansion plate, so no manual device connection is required.

image-20230606110430675

11.6. Experimental effect

After burning the program, the LED light flashes every 200 milliseconds. Open the serial assistant (parameters are shown below), you can see that the serial assistant has been printing the accelerometer accel, gyroscope gyro, magnetometer mag data of ICM20948.

image-20230606110506441

Control serial steering gear
Control motor forward and reverse

COMPANY

  • About us
  • Team Style
  • Blog

LEARNING & EXPLORATION

  • Tutorials
  • Edge AI hardware
  • Educational robots
  • Embedded intelligent hardware

WHERE TO BUY

  • Yahboom Online Store
  • Amazon
  • Alibaba
  • AliExpress
  • Mercado

TECHNOLOGY SUPPORT

  • Email: support@yahboom.com

BE A DISTRIBUTOR

  • Email: sales@yahboom.com
QR Code

Copyright © 2017-2026 Yahboom. All Rights Reserved.

EN/中文