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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

05.CCD tracking avoid

CCD tracking avoid

CCD tracking avoidHardware connectionControl principleUltrasonic moduleCCD moduleMain codeProgram flow chartExperimental phenomenon

The tutorial mainly demonstrates the patrol function of the balance car combined with the linear CCD 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
PeripheralsDevelopment board
CCD: VCC3.3V
CCD: AOPA4
CCD: SLKPB4
CCD: SIPB5
CCD: GNDGND

Control principle

Obstacle avoidance function: Measure the distance of the obstacle in front through the ultrasonic module.

Line patrol function: The program determines the center pixel position of the black line detected by the CCD line patrol module, and compares the center pixel position with the preset CCD median value as the PID control error of the CCD line patrol.

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Use the dynamic threshold algorithm to eliminate the influence of ambient light on the CCD camera

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 will output a high level. The duration of the high level is the time from the ultrasonic wave transmission to the return.

Distance conversion

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

CCD module

image-20240819120349493

PeripheralsDescription
CCD: VCCPower supply pin: 3.3V-5V
CCD: AOGray value output pin: analog output
CCD: CLKClock pin, determines exposure time and controls the output of pixel gray value.
CCD: SIControls the acquisition and output of pixel gray value.
CCD: GNDPower supply pin: GND

Black line detected

The corresponding grayscale value is low;

White line detected

The corresponding grayscale value is high

Main code

The tutorial mainly explains the code for implementing the CCD line patrol and obstacle avoidance function. For detailed code, please refer to the corresponding project file.

Turn_CCD_PD

CCD line patrol and obstacle avoidance adds ultrasonic distance judgment on the basis of CCD line patrol. The car stops when there is an obstacle in front.

If the line patrol effect of the balance car is not good, modify the PID parameters of the app_ccd_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_CCD_PD(float gyro)
{

    int CCDTurn = 0;
    float err = 0;  

    if (g_distance < STOP_Dis && g_distance>0) //  There are obstacles ahead
    {
        return 0;
    }
    
    err=CCD_Zhongzhi-CCD_Minddle;
    
    CCDTurn=err*CCD_Trun_KP+gyro*CCD_Trun_KD;
    
    return CCDTurn;
}

Set_track_speed

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void Set_track_speed(void)
{
    if (g_distance < STOP_Dis && g_distance>0)
    {
        Move_X = 0;// stop
        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-20240904114802719

Experimental phenomenon

Software code

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

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Product supporting data source code path: Attachment → Source code summary → 5.Balanced_Car_Extended → 05.CCD_Car_Line_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 CCD patrol obstacle avoidance function of the balance car: OLED displays CCD module data in real time in the form of a curve; 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 is 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
CCD tracking
Electromagnetic tracking

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