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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

04.CCD tracking

CCD tracking

CCD trackingHardware connectionControl principleMain codeProgram flow chartExperimental phenomenon

The tutorial mainly demonstrates the line patrol function of the balance car combined with the linear CCD module.

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The tutorial only introduces the standard library engineering code

Hardware connection

PeripheralsDevelopment board
CCD: VCC3.3V
CCD: AOPA4
CCD: SLKPB4
CCD: SIPB5
CCD: GNDGND

Control principle

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

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Use dynamic threshold algorithm to eliminate the impact of ambient light on CCD camera
  • CCD module

image-20240808115819550

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 the CCD line patrol function. For detailed code, refer to the corresponding project file.

Turn_CCD_PD

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 by the balance car parameter adjustment tutorial).

​x
int Turn_CCD_PD(float gyro)
{
int CCDTurn = 0;
float err = 0;

err=CCD_Zhongzhi-CCD_Minddle;

CCDTurn=err*CCD_Trun_KP+gyro*CCD_Trun_KD;

return CCDTurn;
}

Set_track_speed

Set the speed of the car.

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void Set_track_speed(void)
{
Move_X = Track_Speed;
}

Program flow chart

Briefly introduce the process of function implementation:

image-20240904112439544

Experimental phenomenon

Software code

The CCD_Car_Line.hex file generated by the project compilation is located in the OBJ folder of the CCD_Car_Line project. Find the CCD_Car_Line.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 materials source code path: Attachment → Source code summary → 5.Balanced_Car_Extended → 04.CCD_Car_Line

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 function of the balance car: OLED displays CCD module data in real time in the form of a curve!

The program has voltage detection. If the voltage is less than 9.6V, the 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
4G handle control
CCD tracking avoid

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