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MicroROS Robot📖
01. Introduction
  • 0.Unpacking and reviewing video
  • 1. ReadMe - learning route
  • 2. Introduction to lidar
  • 3. Introduction to microROS control board
  • 4. FAQ
  • 5. About charging
02. Assembly course
  • Assembly steps
03. Preparation
  • First Trial
  • 1. Write firmware
  • 2. How to install and use VM
  • 3. microROS control board configuration
  • 4. Connect to microROS agent
04. VM Remote control course
  • 1. VM keyboard remote control
  • 2. VM handle remote control
05.ROS-WiFi module configuration
  • 0. Serial port configuration WiFi instructions
  • 1.Module usage in car(ReadMe)
  • 2.Connection module proxy
  • 3.Camera picture correction(ReadMe)
  • 4.Calibrate servo PTZ(ReadMe)
06.ROS+OpenCV course
  • 1.OpenCV Getting started
  • 2.Geometric transformation
  • 3.Image processing and drawing text line segments
  • 4.Image beautification
07.Mediapipe course
  • 1. Hand detection
  • 2. Posture detection
  • 3. Overall inspection
  • 4. Face detection
  • 5. Face recognition
  • 6. Facial effects
  • 7. 3D object recognition
  • 8. Brush
  • 9. Finger control
  • 10. Gesture recognition
08. Robot basic course
  • 1. Robot information release
  • 2. Robot keyboard control
  • 3. Robot handle control
  • 4. Robot state estimation
  • 5. Linear speed calibration
  • 6. Angular velocity calibration
  • 7. Robot URDF model
09. Lidar course
  • 1. Lidar avoid
  • 2. Lidar following
  • 3. Lidar guard
  • 4. Lidarpatrol
  • 5. Gmapping mapping
  • 6. Cartographer mapping
  • 7. Navigation2 navigation avoid
  • 8. ROS Robot APP mapping
  • 9. ROS Robot APP navigation
10. Multi-machine course
  • 1. Multi-machine handle control
  • 2.Multi-machine keyboard control
  • 3. Multi-machine navigation
11.Robot visual interaction
  • 1. Color tracking
  • 2. Object recognition and tracking
  • 3.Face recognition tracking
  • 4.Autonomous driving line patrol
  • 5.QR code motion control
  • 6.Gesture control car movement
  • 7.Palm control car movement
  • 8.Gesture control car action group
  • 9.Palm control 2DOF servo PTZ
12. Linux basic course
  • 1. Introduction to Linux system
  • 2. Ubuntu file system
  • 3. Ubuntu common commands
  • 4. Ubuntu common editors
  • 5. Ubuntu software operation commands
  • 6. Virtual machine installation
  • 7. SSH remote control
  • 8. VNC remote control
  • 9. Remote file transfer
  • 10. Driver library and communication
  • 11. Static IP and hotspot mode
  • 12. Bind device ID
  • 13. Capacity expansion and resource allocation
  • 14. Update system software source
  • 15. set root password
  • 16. sudo free password
  • 17. Connect to WiFi network
  • 18. View system version
  • 19. Customized service management
  • 20. Back up system image
13. Docker course
  • 1. Overview and installation
  • 2. Common commands
  • 3. In-depth understand and publishing images
  • 4. Hardware interaction and data processing
  • 5. Enter robot docker container
18.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
15. microROS control board development environment
  • 1. Introduction to microROS control board
  • 2. Set up ESP32-IDF development environment
  • 3. ESP32-IDF configuration tool
  • 4. Install ESP32-microros components
  • 5. Install and start microROS agent
  • 6. Flash-tool burning firmware
16. ESP32 basic course
  • 1. Turn on the LED light
  • 2. Button function
  • 3. Drive the buzzer
  • 4. Serial communication
  • 5. Battery voltage detection
  • 6. Drive PWM servo
  • 7. Drive motor
  • 8. Read motor encoder data
  • 9. PID controls car speed
  • 10. Read IMU data
  • 11. Read radar data
  • 12. Flash access data
  • 13. Partition table and memory
  • 14. Bluetooth communication
  • 15. WiFi networking
  • 16. Robot kinematics analysis
  • 17. ROS-WiFi camera module
17. microros basic course
  • 1. Publish topic
  • 2. Subscribe topic
  • 3. Multi-topic subscribe and publish
  • 4. Subscribe buzzer topics
  • 5. Subscribe PWM servo topics
  • 6. Subscribe speed control topics
  • 7. Release speed topic
  • 8. Release IMU data topic
  • 9. Publish lidar data topics
  • 10. Customized transmission method
Download
  • Mapping_APP(iOS_Android)
  • Code and firmware
  • Hardware info and driver software
  • VM image file
  • Instruction manual
  • SystemFile_RPi
  • SystemFile_JetsonNANO
  • 3D_Model_File
  • ROS2_Basic_VM
Download ZIP

Welcome to MicroROS Robot repository

8. Read motor encoder data

Read motor encoder data

1. Experimental purpose

Using the encoded motor interface of the microROS control board, learn how the ESP32 uses PCNT components to capture the number of motor encoder pulses.

 

2. Hardware connection

As shown in the figure below, the microROS control board integrates four encoder motor control interfaces. An additional encoder motor needs to be connected. The motor control interface supports 310 motors. A type-C data cable also needs to be connected to the computer and the microROS control board to burn firmware. Function.

image-20240111152814048

The corresponding names of the four motor interfaces are: left front wheel->Motor1, left rear wheel->Motor2, right front wheel->Motor3, right rear wheel->Motor4.

image-20240111155522592

Motor interface line sequence, there is a detailed line sequence silk screen on the back of the microROS control board. Here we take Motor1 as an example. M1+ and M1- are the interfaces for controlling the rotation of the motor. GND and VCC are the power supply circuits of the encoder. H1A and H1B are the encoder pulses. Detection pin.

image-20240111160116671

Note: If you are using the 310 motor and motor cable provided by Yabo Intelligence, connect the white wire shell end to the interface on the microROS control board, and the black wire shell end to the 310 motor interface.

 

3. Core code analysis

The virtual machine path corresponding to the program source code is as follows

~/esp/Samples/esp32_samples/encoder

Since the initialization process of four-way motors is similar, here we take the encoder initialization of motor 1 as an example.

First, initialize the GPIO H1A and H1B of Motor 1 as PCNT capture interfaces with a frequency of 25KHz. Select timer group 0 as the PWM output timer group of Motor 1.

xxxxxxxxxx
static void Encoder_M1_Init(void)
{
    pcnt_unit_config_t unit_config = {
        .high_limit = ENCODER_PCNT_HIGH_LIMIT,
        .low_limit = ENCODER_PCNT_LOW_LIMIT,
        .flags.accum_count = true, // enable counter accumulation
    };
    pcnt_unit_handle_t pcnt_unit = NULL;
    ESP_ERROR_CHECK(pcnt_new_unit(&unit_config, &pcnt_unit));
    pcnt_glitch_filter_config_t filter_config = {
        .max_glitch_ns = 1000,
    };
    ESP_ERROR_CHECK(pcnt_unit_set_glitch_filter(pcnt_unit, &filter_config));
    pcnt_chan_config_t chan_a_config = {
        .edge_gpio_num = ENCODER_GPIO_H1A,
        .level_gpio_num = ENCODER_GPIO_H1B,
    };
    pcnt_channel_handle_t pcnt_chan_a = NULL;
    ESP_ERROR_CHECK(pcnt_new_channel(pcnt_unit, &chan_a_config, &pcnt_chan_a));
    pcnt_chan_config_t chan_b_config = {
        .edge_gpio_num = ENCODER_GPIO_H1B,
        .level_gpio_num = ENCODER_GPIO_H1A,
    };
    pcnt_channel_handle_t pcnt_chan_b = NULL;
    ESP_ERROR_CHECK(pcnt_new_channel(pcnt_unit, &chan_b_config, &pcnt_chan_b));
    ESP_ERROR_CHECK(pcnt_channel_set_edge_action(pcnt_chan_a, PCNT_CHANNEL_EDGE_ACTION_DECREASE, PCNT_CHANNEL_EDGE_ACTION_INCREASE));
    ESP_ERROR_CHECK(pcnt_channel_set_level_action(pcnt_chan_a, PCNT_CHANNEL_LEVEL_ACTION_KEEP, PCNT_CHANNEL_LEVEL_ACTION_INVERSE));
    ESP_ERROR_CHECK(pcnt_channel_set_edge_action(pcnt_chan_b, PCNT_CHANNEL_EDGE_ACTION_INCREASE, PCNT_CHANNEL_EDGE_ACTION_DECREASE));
    ESP_ERROR_CHECK(pcnt_channel_set_level_action(pcnt_chan_b, PCNT_CHANNEL_LEVEL_ACTION_KEEP, PCNT_CHANNEL_LEVEL_ACTION_INVERSE));
    ESP_ERROR_CHECK(pcnt_unit_add_watch_point(pcnt_unit, ENCODER_PCNT_HIGH_LIMIT));
    ESP_ERROR_CHECK(pcnt_unit_add_watch_point(pcnt_unit, ENCODER_PCNT_LOW_LIMIT));
    ESP_ERROR_CHECK(pcnt_unit_enable(pcnt_unit));
    ESP_ERROR_CHECK(pcnt_unit_clear_count(pcnt_unit));
    ESP_ERROR_CHECK(pcnt_unit_start(pcnt_unit));
    encoder_unit_m1 = pcnt_unit;
}

Read the accumulated number of encoder pulses of motor 1.

xxxxxxxxxx
int Encoder_Get_Count_M1(void)
{
    static int count_m1 = 0;
    pcnt_unit_get_count(encoder_unit_m1, &count_m1);
    return count_m1;
}

For the convenience of reading, the number of accumulated encoder pulses of the motor is obtained according to the ID number of the encoder.

xxxxxxxxxx
int Encoder_Get_Count(uint8_t encoder_id)
{
    if (encoder_id == ENCODER_ID_M1) return Encoder_Get_Count_M1();
    if (encoder_id == ENCODER_ID_M2) return Encoder_Get_Count_M2();
    if (encoder_id == ENCODER_ID_M3) return Encoder_Get_Count_M3();
    if (encoder_id == ENCODER_ID_M4) return Encoder_Get_Count_M4();
    return 0;
}

Call the Encoder_Init function in app_main to initialize the motor encoder, and print the accumulated pulse number of the four motor encoders every 200 milliseconds in the loop.

​x
void app_main(void)
{
    printf("hello yahboom\n");
    ESP_LOGI(TAG, "Nice to meet you!");

    Encoder_Init();
    vTaskDelay(pdMS_TO_TICKS(1000));

    while (1)
    {
        ESP_LOGI(TAG, "Encoder:%d, %d, %d, %d", 
            Encoder_Get_Count_M1(), Encoder_Get_Count_M2(), 
            Encoder_Get_Count_M3(), Encoder_Get_Count_M4());

        vTaskDelay(pdMS_TO_TICKS(200));
    }
}

 

4. Compile, download and flash firmware

Use a Type-C data cable to connect the virtual machine/computer and the microROS control board. If the system pops up, choose to connect to the virtual machine.

Activate the ESP-IDF development environment. Note that every time you open a new terminal, you need to activate the ESP-IDF development environment before compiling the firmware.

xxxxxxxxxx
source ~/esp/esp-idf/export.sh

Enter the project directory

xxxxxxxxxx
cd ~/esp/Samples/esp32_samples/encoder

Compile, flash, and open the serial port simulator

xxxxxxxxxx
idf.py build flash monitor

If you need to exit the serial port simulator, press Ctrl+].

 

5. Experimental results

The serial port simulator prints the "hello yahboom" greeting. At this time, the pulse data of the four-channel motor encoder will be printed every 200 milliseconds. As shown in the figure below, the motor Motor3 is rotated, so the third data will change.

image-20240111183010379

 

According to the parameters of the motor, the motor reduction ratio is 1:20, the encoder is a 13-line AB phase Hall encoder, and the software uses high and low level triggering at the same time, so the theoretical number of pulses for one revolution of the motor should be 1040.

 

Taking rotating motor 3 as an example, when the wheel turns forward, the encoder data accumulates. When the wheel turns forward for one turn, the encoder data increases by approximately 1040. Since there is a certain error in manual rotation, there may be differences in the values, as long as the difference is not large.

image-20240111193123933

image-20240111185926592

Press the reset button on the microROS control board to reset the value to 0.

image-20240111191603637

When the wheel turns backward, the encoder data decreases cumulatively. If it turns backward for one turn, it will decrease by approximately 1040.

image-20240111191511979

Drive motor
PID controls car speed

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