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MicroROS-Pi5📖
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. MicroROS control board parameter configuration
  • 3. Connect to MicroROS agent
  • 4. Connect to WIFI in hotspot mode
04. Quick start control course
  • 1. Self start handle control
  • 2. Close the self-starting handle control process
  • 3. Quick start keyboard control
  • 4. Map navigation and APP control
05. 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
06. ROS+OpenCV course
  • 1. Getting started with Opencv CV
  • 2. Geometric transformation
  • 3. Image processing and drawing
  • 4. Open Source CV image beautification
  • 5. QR code creation and recognition
  • 6. AR vision
  • 7. ROS+Opencv application
07. Mediapipe course
  • 1. Hand detection
  • 2. Posture detection
  • 3. Overall detection
  • 4. Face detection
  • 5. Face recognition
  • 6. Face effects
  • 7. 3D object recognition
  • 8. Brush
  • 9. Finger control
  • 10 .Gesture recognition
08. Robot visual interaction
  • 1. Monocular camera calibration
  • 2. Color tracking
  • 3. Object recognition and tracking
  • 4. Face recognition tracking
  • 5. Autonomous driving line patrol
  • 6. QR code motion control
  • 7. Gesture control of basic movement of the car
  • 8. Control the car movement with your palm
  • 9. Gesture control car action group
  • 10. Palm control of the two-dimensional gimbal servo
09. Lidar course
  • 1. Lidar avoid
  • 2. Lidar following
  • 3. Lidar guard
  • 4. Lidar patrol
  • 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. 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. Transfer files remotely
  • 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 sources
  • 15. Set root user password
  • 16. sudo free password
  • 17. Connect to WiFi network
  • 18. View system version
  • 19. Customized service management
  • 20. Back up system image
12. RPi basic setting course
  • 1. Update and upgrade operating system
  • 2. Introduction to raspi-config tool
  • 3. config.txt file description
  • 4. Network Configuration
  • 5. remote access
  • 6. Transfer files remotely
  • 7. Set display resolution and rotation
  • 8. Set screen to sleep
  • 9. Get real-time temperature of Raspberry Pi
  • 10. Play audio and video
  • 11. Using USB camera
  • 12. Using MIPI camera
13. Docker course
  • 1. Overview and installation
  • 2. Common commands
  • 3. Docker images deeply understand and publish images
  • 4. Docker hardware interaction and data processing
  • 5. Enter the robot's docker container
14. 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)
  • Source code
  • Hardware information
  • VM image file
  • RPi5 imgae file
  • Instruction Manual
  • 3D Model File
  • ROS2_Basic_VM
Download ZIP
FAQ
  • 1、1.USB camera abnormal termination

Welcome to MicroROS-Pi5 repository

当製品の日本語版マニュアル資料は、こちらからご取得ください。

5. Battery voltage detection

Battery voltage detection

Battery voltage detection1. Experimental purpose2. Hardware connection3. Core code analysis4. Compile, download and flash firmware5. Experimental results

1. Experimental purpose

Use the voltage detection function on the microROS control board to learn the function of ESP32 to read ADC values.

 

2. Hardware connection

As shown in the figure below, the battery voltage detection circuit has been integrated on the microROS control board, so there is no need to connect other external devices. You only need to connect the type-C data cable to the computer and the microROS control board as a firmware flash function.

image-20240111113845152

 

3. Core code analysis

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

~/esp/Samples/esp32_samples/voltage

First, initialize the battery voltage detection ADC channel. The hardware GPIO connected to the voltage detection is GPIO3, and the corresponding ADC channel is ADC1 channel 2.

static void Battery_Adc_Init(void)
{
    adc_oneshot_unit_init_cfg_t init_config1 = {
        .unit_id = ADC_UNIT_1,
    };
    ESP_ERROR_CHECK(adc_oneshot_new_unit(&init_config1, &battery_handle));
    adc_oneshot_chan_cfg_t config = {
        .bitwidth = ADC_BITWIDTH_DEFAULT,
        .atten = ADC_ATTEN_BATTERY,
    };
    ESP_ERROR_CHECK(adc_oneshot_config_channel(battery_handle, ADC_CHANNEL_BATTERY, &config));

    Battery_Adc_Calibration_Init(ADC_UNIT_1, ADC_CHANNEL_BATTERY, ADC_ATTEN_BATTERY, &battery_cali_handle);
}

Since the value read by the ADC needs to be converted before the GPIO voltage value can be obtained, the ADC voltage conversion function needs to be initialized.

xxxxxxxxxx
static bool Battery_Adc_Calibration_Init(adc_unit_t unit, adc_channel_t channel, adc_atten_t atten, adc_cali_handle_t *out_handle)
{
    adc_cali_handle_t handle = NULL;
    esp_err_t ret = ESP_FAIL;
    bool calibrated = false;

    if (!calibrated)
    {
        ESP_LOGI(TAG, "calibration scheme version is %s", "Curve Fitting");
        adc_cali_curve_fitting_config_t cali_config = {
            .unit_id = unit,
            .chan = channel,
            .atten = atten,
            .bitwidth = ADC_BITWIDTH_DEFAULT,
        };
        ret = adc_cali_create_scheme_curve_fitting(&cali_config, &handle);
        if (ret == ESP_OK)
        {
            calibrated = true;
        }
    }

    *out_handle = handle;
    if (ret == ESP_OK)
    {
        ESP_LOGI(TAG, "Calibration Success");
    }
    else
    {
        ESP_LOGE(TAG, "Invalid arg or no memory");
    }
    return calibrated;
}

Create a new battery voltage detection task and convert the ADC value read from ADC1 channel 2 into a GPIO voltage value.

xxxxxxxxxx
static void Battery_Task(void *arg)
{
    ESP_LOGI(TAG, "Start Battery_Task with core:%d", xPortGetCoreID());

    while (1)
    {
        ESP_ERROR_CHECK(adc_oneshot_read(battery_handle, ADC_CHANNEL_BATTERY, &adc_raw));
        ESP_ERROR_CHECK(adc_cali_raw_to_voltage(battery_cali_handle, adc_raw, &cali_voltage));
        Battery_Update_Voltage(cali_voltage);
        // ESP_LOGI(TAG, "Raw Data: %d, Calibration voltage: %d", adc_raw, cali_voltage);

        vTaskDelay(pdMS_TO_TICKS(100));
    }

    // 结束任务前注销ADC Deregister ADC before ending the task
    ESP_ERROR_CHECK(adc_oneshot_del_unit(battery_handle));
    Battery_Adc_Calibration_Init_Deinit(battery_cali_handle);
    vTaskDelete(NULL);
}

Calculate the battery terminal voltage based on the GPIO voltage.

xxxxxxxxxx
static void Battery_Update_Voltage(int gpio_voltage_mV)
{
    // battery_voltage = gpio_voltage*(10+3.3)/3.3;
    battery_voltage = gpio_voltage_mV / 1000.0 * 4.03;
}

Read the battery voltage, unit: V.

xxxxxxxxxx
float Battery_Get_Voltage(void)
{
    return battery_voltage;
}

Call the Battery_Init function in app_main to initialize the battery voltage ADC interface, and then print the current battery voltage value every 500 milliseconds in the loop.

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

    Battery_Init();

    while (1)
    {
        vTaskDelay(pdMS_TO_TICKS(500));
        float voltage = Battery_Get_Voltage();
        ESP_LOGI(TAG, "Voltage:%.2fV", voltage);
    }
    
}

 

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/voltage

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. And continue to print the current battery voltage value, for example, the current battery voltage is 7.05V.

image-20240111141215200

 

Serial communication
Drive PWM servo

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