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Self-balancing Robot Car📖
00.Get started quickly
  • 01.Balance car manual
  • 02.Balancing car assembly
  • 03.Get started quickly
  • 04.Balance car interface description
  • 05.Common Problem Analysis
  • 06.Balance Car V2 Library Function Development Manual
01.Environment development
  • 01.MDK-ARM installation
  • 02.STM32CubeIDE installation
  • 03.Common driver installation
  • 04.Download the program
  • 05.MDK-ARM project usage
  • 06.Program simulation
  • 07. VSCode Installation
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)
  • 13.Window Watchdog (WWDG)
  • 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)
  • 06.Bluetooth module-Data reading (USART)
  • 07.2.4G handle-Data reading (SPI)
  • 08.Tracking module-Read status (GPIO)
  • 09.CCD module-Reading data (ADC)
  • 10.Electromagnetic module-Reading data (ADC)
  • 11.K210 module-Serial communication (USART)
  • 12.Tmini-Plus lidar-Reading data (USART)
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.Robot car advanced course
  • 01.4-channel tracking
  • 02.4-channel tracking avoid
  • 03.2.4G handle control
  • 04.CCD tracking
  • 05.CCD tracking avoid
  • 06.Electromagnetic tracking
  • 07.K210-QR code recognition
  • 08.K210-Color line tracking
  • 09.K210-Color follow
  • 10.K210-Self learning
  • 11.K210-Number recognition
  • 12.Lidar avoid
  • 13.Lidar guard
  • 14.Lidar follow
  • 15.Lidar patrol
  • 16.Lidar wall tracking-straight line
  • 17.Lidar wall tracking-multiple walls
  • 18. DIY Automatic driving car
07.Robot car LQR control
  • Robot car LQR control
08.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
09.Mathematical model
  • Mathematical model
10.Expand course
  • Autonomous Driving
Download
  • APP(Android)
  • Codes
  • Hardware-Info
  • SCH
  • Software Tools
  • STM32_Chip_DataSheet
  • 3D_Model_File
  • Video_PPT
Download ZIP

Welcome to Self-balancing Robot Car repository

02.4-channel tracking avoid

4-channel tracking avoid

4-channel tracking avoidHardware connectionControl principleUltrasonic moduleFour-way line patrol moduleMain codeProgram flow chartExperimental phenomenon

The tutorial mainly demonstrates the line patrol and obstacle avoidance function of the balancing car combined with the four-way tracking module and the ultrasonic module.

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The tutorial only introduces the standard library project code

Hardware connection

Ultrasonic moduleSTM32F103RCT6
VCC5V
TRIGPA0
ECHOPA1
GNDGND
LED corresponding to the four-way patrol moduleFour-way patrol moduleDevelopment board
 VCC5V/3.3V
L1X1PC4
L2X2PC5
L3X3PB0
L4X4PB1
 GNDGND

Control principle

Ultrasonic module

The ultrasonic module is mainly responsible for obtaining the distance between the obstacle and the car to achieve the obstacle avoidance function.

image-20230926100744843

Trigger ranging signal

The TRIG pin sends a high-level signal for more than 10us.

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The ultrasonic module will automatically send 8 40KHz square waves and automatically detect whether there is a signal return

Receive echo signal

If there is a signal return, the ECHO pin outputs a high level, and the duration of the high level is the time from the ultrasonic wave to the return.

Distance conversion

Distance=Thigh∗Vspeed2
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T: high level time of echo signal
V: sound speed (approximately equal to 340m/s)

Four-way line patrol module

By reading the X1, X2, X3, and X4 interface levels of the four-way tracking module, it is determined whether the black line is detected and where the black line is located.

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The program uses PID to implement the line patrol function. If the PID parameters are not used, the effect is poor

image-20240816112132769

Black line detected

The light is on → the corresponding interface of the four-way line patrol module outputs a low level;

White line detected

The light is off → the corresponding interface of the four-way line patrol module outputs a high level.

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Note: The corresponding relationship between the interface, LED, and adjustment knob shall be based on the silkscreen numbers, for example: X1 corresponds to L1, SW1

Main code

The tutorial mainly explains the code for the four-way patrol and obstacle avoidance function. For detailed code, please refer to the corresponding project file.

Turn_IRTrack_PD

Four-way patrol and obstacle avoidance adds ultrasonic distance judgment on the basis of four-way patrol. The car stops when there is an obstacle in front.

If the patrol effect of the balance car is not good, modify the PID parameters of the app_tracking.c file. It is not recommended to modify the PID parameters of the pid_control.c file (the PID parameters of the pid_control.c file are subject to the parameters finally confirmed in the balance car parameter adjustment tutorial).

​x
int Turn_IRTrack_PD(float gyro)
{

    int IRTrackTurn = 0;
    float err = 0;  
    static float IRTrack_Integral;
    
    if (g_distance < STOP_Dis && g_distance>0) // There are obstacles ahead
    {
        return 0;
    }
    
    PID_track_get();  // Obtain deviation
    
    err=error-IRTrack_Minddle;
    
    IRTrack_Integral +=err;
    
    IRTrackTurn=err*IRTrack_Trun_KP+IRTrack_Trun_KI*IRTrack_Integral+gyro*IRTrack_Trun_KD;
    
    return IRTrackTurn;

}

Set_track_speed

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void Set_track_speed(void)
{
    if (g_distance < STOP_Dis && g_distance>0)
    { 
        Move_X = 0;// stop car
        if(battery > 9.6)// Sufficient voltage
            BEEP_BEEP = 1;
        return;
    }
    
    if(battery > 9.6)// Sufficient voltage
            BEEP_BEEP = 0;
    Move_X = Track_Speed;       
}

Program flow chart

Briefly introduce the process of function implementation:

image-20240903194107700

Experimental phenomenon

Software code

The BalancedCar_tracking_Stop.hex file generated by the project compilation is located in the OBJ folder of the BalancedCar_tracking_Stop project. Find the BalancedCar_tracking_Stop.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 data source code path: Attachment → Source code summary → 5.Balanced_Car_Extended → 02.BalancedCar_tracking_Stop

Experimental phenomenon

After the program is started, put the car on the patrol map, and press KEY1 according to the OLED prompt to start the balanced car patrol function: OLED will display the deviation setting value and the level of the four-way patrol module in real time. When the ultrasonic wave detects an obstacle, it will sound a buzzer and stop moving to maintain balance.

The program has voltage detection. If the voltage is less than 9.6V, a low voltage alarm will be triggered and the buzzer will sound.
Common situations for triggering 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
4-channel tracking
4G handle control

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