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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

01.4-channel tracking

4-channel tracking

4-channel trackingHardware connectionControl principleMain codeProgram flow chartExperimental phenomenonExtended case: Four-way patrol (high-difficulty map)

The tutorial mainly demonstrates the patrol function of the balance car combined with the four-way tracking module.

The tutorial only introduces the standard library project code

Hardware connection

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

Control principle

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

Turn_IRTrack_PD

Four-way patrol module patrol PID implementation function. If the patrol effect 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;

    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;
}

Program flow chart

Briefly introduce the process of function implementation:

image-20240903181829073

Experimental phenomenon

Software code

The BalancedCar_tracking_PID.hex file generated by the project compilation is located in the OBJ folder of the BalancedCar_tracking_PID project. Find the BalancedCar_tracking_PID.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 → 01.BalancedCar_tracking_PID

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 balance car patrol function: OLED will display the deviation setting value and the level of the four-way patrol module in real time!

The balance car will balance first and then patrol the line. When the inclination angle is greater than a certain value, the car will stop moving.

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The program has voltage detection. If the voltage is less than 9.6V, the 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

Extended case: Four-way patrol (high-difficulty map)

This case is used with our smart car patrol track. It is difficult for novices to adjust, so only code reference is provided.

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Product supporting information source code path: Attachment → Source code summary → 5.Balanced_Car_Extended → 01.BalancedCar_tracking_PID → BalancedCar_tracking_yahboom_map

image-20240906145930024

Load balance
4-channel tracking avoid

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