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MicroROS Self-balancing Robot Car📖
01.Introduction
  • 0.Unboxing and Reviewing
  • 1. Must read before use - learning route
  • 2. Introduction to LiDAR
  • 3. Balance car interface description
  • 4. Analysis of common problems
  • 5. Robot charging and battery precautions
02.Assembly tutorial
  • Robot assembly steps
03.Preparation
  • 0.Quick Start (Must Read)
  • 1.Write firmware
  • 2.How to install and use VM
  • 3.ESP32 communication board configuration parameters
  • 4.Connect to microROS agent
04.ROS-WiFi module configuration
  • 0.Serial port configuration WiFi instructions
  • 1.Use ROS-WiFi cam module(must read)
  • 2.Connect to ROS-WiFi cam module agent
  • 3.Camera image correction (optional)
05.Quick start control
  • 1.Keyboard remote control
  • 2.Handle remote control
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.Line speed calibration
  • 6.Angular velocity calibration
  • 7.Robot URDF model
09.Lidar course
  • 1.Lidar avoid
  • 2.Lidar following
  • 3.Lidar guard
  • 5.Gmapping mapping
  • 6.Cartographer mapping
  • 7.Navigation2 navigation avoid
  • 8.Navigation2 fast relocation navigation
  • 9.ROS Robot APP mapping
  • 10.ROS Robot APP navigation
10.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 recognition and tracking
  • 10.Human body posture recognition and tracking
11.Multi-machine course
  • 1.Multi-machine handle control
  • 2.Multi-machine keyboard control
  • 3.Multi-machine navigation
  • 4.Multi-machine rapid relocation navigation
12.STM32 balancing case
01.Environment construction and development
  • 13.Window Watchdog (WWDG)
  • 01.MDK-ARM installation
  • 02.STM32CubeIDE installation
  • 03.Common driver installation
  • 04.Download the program
  • 05.MDK-ARM project usage
  • 06.Program simulation
02.STM32 getting started course
  • 01.Project creation
  • 02.LED Control(GPIO)
  • 03.Buzzer control(GPIO)
  • 04.Button control(EXTI)
  • 05.Serial communication(USART)
  • 06.Voltage detection(ADC)
  • 07.Basic timer(TIM)
  • 08.Universal timer(TIM)
  • 09.Advanced Timer(TIM)
  • 10.I2C Communication(I2C)-OLED
  • 11.SPI communication(SPI)-2.4G handle
  • 12.Independent Watchdog (IWDG)
  • 14.DMA-USART
  • 15.DMA-I2C
03.STM32 expansion course
  • 01.Battery voltage detection (ADC)
  • 02.Ultrasonic module-measuring distance (TIM)
  • 03.Motor drive+encoder (TIM)
  • 04.OLED Data-Display(I2C)
  • 05.MPU6050-Data Read (I2C)
04.Robot car PID control course
  • 01.PID basic concept
  • 02.PID example analysis
  • 03.P, PI, PD controller theory
  • 04.Position PID
  • 05.Incremental PID
  • 06.Cascade PID
  • 07.Balance principle of car
  • 08.Car upright control (PD)
  • 09.Car speed ​​control (PI)
  • 10.Car steering control (PD)
  • 11.Got angle and angular velocity (DMP algorithm)
  • 12.Got angle and angular velocity (Kalman filter algorithm)
  • 13.Got angle and angular velocity(Complementary filter algorithm)
05.Robot car basic course
  • 01.Car parameter adjustment
  • 02.Ultrasonic obstacle avoidance
  • 03.Ultrasonic follow
  • 04.Bluetooth remote control
  • 05.Load balance
  • 06.Radar obstacle avoidance
  • 07.Radar guard
  • 08.Radar follow
  • 09.Radar patrol
  • 10.Radar wall following go in a straight line
  • 11.Radar tracking wall multiple walls
06.Robot car LQR control
  • Balance car LQR high-level control
07.Circuit design
  • 01.Overall circuit design
  • 02.STM32 minimum system
  • 03.Serial port circuit design
  • 04.Power circuit design
  • 05.MPU6050 Circuit Design
  • 06.Motor drive circuit design
08.Mathematical model
  • Balance car mathematical model
13.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
14.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 bot's docker container
15.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
Download
  • RemoteCtrl_APP(Android)
  • Mapping_APP(iOS_Android)
  • Code
  • Hardware Information
  • software tools
  • 3D model file
  • Instruction manual
  • VM image file
  • ROS2_Basic_VM
Download ZIP

Welcome to MicroROS Self-balancing Robot Car repository

04.Bluetooth remote control

Bluetooth remote control

Bluetooth remote controlHardware connectionControl principleMaster-slave modeHost modeSlave modeCommunication protocolMain codeProgram flow chartExperimental phenomenonBluetooth remote controlDownload Bluetooth remote control APPBluetooth connectionMain control interfacePID debuggingWaveform display

The tutorial mainly demonstrates the remote control function of the balance car combined with the Bluetooth module.

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The tutorial only introduces the standard library project code

Hardware connection

Bluetooth moduleDevelopment board
VCCVCC
TXDRXD5
RXDTXD5
GNDGND

Control principle

The mobile phone connects to the Bluetooth module (slave) on the balance car through the built-in Bluetooth (host). The Bluetooth module receives the data of the balance car APP and sends it to the development board for analysis.

Master-slave mode

The host is responsible for managing the communication process and controlling data transmission, while the slave performs corresponding operations according to the host's instructions.

Host mode

The controller in Bluetooth communication is responsible for initiating connection requests and controlling the entire communication process.

Slave mode

Passively wait for the host's connection request and accept the host's control.

Communication protocol

The Bluetooth module sends the data transmitted by the mobile phone APP to the development board through TXD. The development board then parses the received data and obtains the corresponding command data. Later, the movement state of the car can be controlled according to this command data.

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For detailed information, please refer to "Bluetooth Remote Control Communication Protocol"

Main code

The tutorial mainly explains the code for implementing some Bluetooth remote control functions. For detailed code, please refer to the corresponding project file.

deal_bluetooth

Receive data sent by the Bluetooth module.

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void deal_bluetooth(uint8_t rxbuf)
{
    u8 uartvalue = rxbuf;
    if(uartvalue == '$')
    {
      startBit = 1;
        num = 0;
    }
    if(startBit == 1)
    {
        inputString[num] = uartvalue;     
    }  
    if (startBit == 1 && uartvalue == '#') 
    {
        newLineReceived = 1; 
        startBit = 0;
        int9num = num;  
    }
    num++;
    if(num >= 80)
    {
        num = 0;
        startBit = 0;
        newLineReceived = 0;
    }    
}

Protocol

Parse the Bluetooth module data according to the protocol.

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void Protocol(void)
{   
    switch (ProtocolString[1])
    {
        case run_car:    g_newcarstate = enRUN; break;
        case back_car:  g_newcarstate = enBACK; break;
        case left_car:  g_newcarstate = enLEFT; break;
        case right_car: g_newcarstate = enRIGHT; break;
        case stop_car:  g_newcarstate = enSTOP; break;
        default: g_newcarstate = enSTOP; break;
        
    }
    if (ProtocolString[3] == '1')
    {
        g_newcarstate = enTLEFT;    
    }
    
    if (ProtocolString[3] == '2')
    {
        g_newcarstate = enTRIGHT;
    }

    if(strlen((const char *)ProtocolString)<21)
    {
        newLineReceived = 0;  
        memset(ProtocolString, 0x00, sizeof(ProtocolString));  
        UART5_Send_Char("$ReceivePackError#"); 
        return;
    }
    
    if(ProtocolString[5]=='1')
    {
        ResetPID();
        ProtocolGetPID();
//  }
//  else if(ProtocolString[5]=='2')
//  {
        UART5_Send_Char("$OK#");
    }

    if(ProtocolString[7]=='1')
    {
            g_autoup = 1; 
            UART5_Send_Char("$OK#");    
    }
    else if(ProtocolString[7]=='2')
    {       
            g_autoup = 0;       
            UART5_Send_Char("$OK#");        
    }

    if (ProtocolString[9] == '1') 
    {
        //$0,0,0,0,1,1,AP23.54,AD85.45,VP10.78,VI0.26#
        int pos,z; 
        char apad[20] = {0},apvalue[8] = {0},advalue[8] = {0};
        pos = StringFind((const char *)ProtocolString, (const char *)"AP");
        if(pos == -1) return;
        memcpy(apad,ProtocolString+pos,int9num-pos);
        //AP23.54,AD85.45,VP10.78,VI0.26#
        z = StringFind(apad, ",");
        if(z == -1) return;
        memcpy(apvalue, apad+2, z-2);
        Balance_Kp = atof(apvalue)*100;
        memset(apad, 0x00, sizeof(apad));
        memcpy(apad, ProtocolString + pos + z + 1, int9num - (pos + z));
        z = StringFind(apad, ",");
        if(z == -1) return;
        memcpy(advalue,apad+2, z-2);
        Balance_Kd=atof(advalue);
        UART5_Send_Char("$OK#");                
    }
        
    if(ProtocolString[11] == '1')
    {
        int pos,z; 
        char vpvi[20] = {0},vpvalue[8] = {0},vivalue[8] = {0};
        pos = StringFind((const char *)ProtocolString, (const char *)"VP");
        if(pos == -1) return;
        memcpy(vpvi, ProtocolString+pos, int9num-pos);
        //y=strchr(apad,'AP');
        //AP23.54,AD85.45,VP10.78,VI0.26#
        z = StringFind(vpvi, ",");
        if(z == -1) return;
        memcpy(vpvalue, vpvi+2, z-2);
        Velocity_Kp = atof(vpvalue) *100;
        memset(vpvi, 0x00, sizeof(vpvi));
        memcpy(vpvi, ProtocolString + pos + z + 1, int9num - (pos + z));
        z = StringFind(vpvi, "#");
        if(z == -1) return;
        memcpy(vivalue,vpvi+2, z-2);
        Velocity_Ki=atof(vivalue);
        UART5_Send_Char("$OK#");    
    }
    newLineReceived = 0;  
    memset(ProtocolString, 0x00, sizeof(ProtocolString));  
}

Program flow chart

Briefly introduce the process of function implementation:

image-20240911190938842

Experimental phenomenon

Software code

The bluetooth_control.hex file generated by the project compilation is located in the OBJ folder of the bluetooth_control project. Find the bluetooth_control.hex file corresponding to the project and use the FlyMcu software to download the program into the development board.

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Product supporting information source code path: Attachment → Source code summary → 4.Balanced_Car_base → 04.bluetooth_control

Experimental phenomenon

After the program is started, press the KEY1 button according to the OLED prompt to start the balance car Bluetooth remote control function: OLED will display the balance car inclination angle in real time!

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The program has voltage detection. If the voltage is less than 9.6V, a low voltage alarm is triggered and the buzzer will sound.
Common situations that trigger voltage alarms:
1. The power switch of the development board is not turned on, and only the Type-C data cable is connected for power supply
2. The battery pack voltage is lower than 9.6V and needs to be charged in time

Bluetooth remote control

Download Bluetooth remote control APP

Use the mobile browser to scan the QR code to download the APP (only supports Android)

image-20240905102958598

Bluetooth connection

When you open the BalanceBot APP for the first time, it will automatically search and connect to nearby Bluetooth devices. We need to bring the phone close to the car, and the BalanceBot APP will automatically connect; if the connection is successful, a "Connection successful" prompt will appear.

If no search is found, you can click the Bluetooth search and connection options in turn.

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The mobile phone needs to turn on the Bluetooth function and allow the Bluetooth remote control APP related permissions

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Main control interface

Used for basic control and data display of the balance car.

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Direction control

The main control interface can control the movement of the balance car through buttons, gravity and joystick.

Data display

The main control interface will automatically obtain gravity, ultrasonic distance, battery voltage, and left and right motor speed display.

PID debugging

Used for online query and adjustment of PID parameters to achieve the best effect.

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Vertical ring

Adjust the vertical ring PD parameters, support dragging and keystrokes to update data.

Speed ring

Adjust the speed ring PI parameters, support dragging and keystrokes to update data.

Steering ring

Adjust the steering ring PD parameters, support dragging and keystrokes to update data.

PID parameter range

Click the P, I, D options on the interface to adjust the adjustment range of each PID parameter.

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Waveform display

Check the corresponding option to display the dynamic changes of acceleration, gyroscope and battery voltage data.

6000af23bc854f605a67506a274161a5

Ultrasonic follow
Load balance

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