yahboom
HomeLearn
Solution
Blog
Online Store
About Us
EN/中文
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

17.Lidar wall tracking-multiple walls

Lidar wall tracking-multiple walls

Lidar wall tracking-multiple wallsHardware connectionControl principleMain codeProgram flow chartExperimental phenomenon

The tutorial mainly demonstrates the wall patrol function of the balance car combined with the Tmini-Plus radar (maintaining a certain distance from the nearest wall).

xxxxxxxxxx
The tutorial only introduces the standard library project code

Hardware connection

Since we have configured a special connection line, you only need to install it to the corresponding interface.

PeripheralsDevelopment Board
Tmini-Plus radar: VCC5V
Tmini-Plus radar: TXDPC10
Tmini-Plus radar: RXDPC11
Tmini-Plus radar: GNDGND

Control principle

The program analyzes the radar data, and sets the distance from the wall and the distance to be maintained for patrolling the wall according to the distance collected by the program initialization (radar 72° distance). The 0° distance determines whether there is an obstacle in front.

xxxxxxxxxx
The right side of the radar needs to be close to the wall, and the angle of distance measurement is 72°
  • Tmini-Plus radar

image-20240820102356793

Product nameTmini-Plus radar
Scanning frequency6-12Hz
Sampling frequency4000 times/s
Measuring radiusBlack object: 12m
Minimum measuring distance0.05m
Distance measurement principleTOF distance measurement
Scanning angle360°
Communication interfaceStandard asynchronous serial port (UART)
1. Baud rate: 230400
2. Data bits: 8
3. Check bit: None
4. Stop bit: 1
ROS supportROS1/ROS2
Windows supportHost computer

Radar angle distribution

The arrow in the center of the radar points to 0°/360°, and the angle increases clockwise.

image-20240820204047537

Communication protocol

xxxxxxxxxx
For detailed information, please refer to the "T_Mini_Plus Manual"

Main code

The tutorial mainly explains the code for the radar wall following function. For detailed code, please refer to the corresponding project file.

LiDar_Straight

The radar wall following function adds a turning action to the radar wall following function. When there is no obstacle in front of the radar, the radar maintains the wall following function. When an obstacle is detected in front of the radar, the radar turns left.

xxxxxxxxxx
void LiDar_Straight(void) 
{
    static u16 target_distance=0;
    
    u16 current_distance=target_distance;
    
    static u16 Limit_distance=0;   // Maximum detection range of radar
    static u16 get_timedis = 0; 
    
    for (u8 i = 0;i<5;i++) // The detection distance is 72 degrees
    {
        if(get_timedis<GET_LidarDIS_Time)
        {
            if(Tminidis[Lidar_Angle]==0 || Tminidis[Lidar_Angle]>400) continue; // Discard data with values of 0 and greater than 400mm
            
            get_timedis ++;
            target_distance = Tminidis[Lidar_Angle];//  Dynamically obtain the target angle
            Limit_distance=target_distance+200;// 200mm greater than the target distance, mainly to avoid the disappearance of the reference object causing the car to quickly turn
            
            if(get_timedis == (GET_LidarDIS_Time-1)) 
            {
                g_lidar_go_flag = 1;
                get_timedis = GET_LidarDIS_Time;
            }
        }
        
         if(Tminidis[Lidar_Angle]<(Limit_distance))// Limit the detection range of the radar
        {
             current_distance=Tminidis[Lidar_Angle];// Determine distance
        }
                
    }
    
    if(get_timedis<GET_LidarDIS_Time) // Do not take any action until the distance is determined
    {
        return;
    }
    
    
    if(Tminidis[0]>0 && Tminidis[0]<Limit_distance)//  Determine the obstacle avoidance distance based on the initial value; Because the following distance is 72 degrees, only a left turn is needed
    {
        if(lidar_wall_flag == 0)
        {
            lidar_wall_flag = 1;
            myTurn_Kd = 30;
            Move_Z = -600; // turnleft
            delay_time_int(1);//10ms 
        }
            Move_X = 0; 
            Last_error = 0;// Clear PID errors to avoid excessive steering
            return;
    }
    
    if(get_time_int()!=0)
    {
        return;
    }
    else 
    {
        if(lidar_wall_flag ==1)
        {
            lidar_wall_flag = 0;
            Move_X = 0;
            Move_Z = 0;
            myTurn_Kd = 0;
            return;
        } 
        
    }
    
    Set_track_speed();
    
    Move_Z = Distance_Adjust_PID(current_distance,target_distance);
}

Distance_Adjust_PID

PID processing is performed based on the distance between the radar and the wall. If the balancing car does not patrol the wall in a straight line effectively, modify the PID parameters of the app_lidar_car.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 balancing car parameter adjustment tutorial).

​x
float Distance_Adjust_PID(float Current_Distance,float Target_Distance)// PID Distance adjustment PID
{

    error=Target_Distance-Current_Distance;                             // Calculate deviation
    OutPut=-Track_Lidar_KP*error-Track_Lidar_KD*(error-Last_error);     // Position based PID controller
    Last_error=error;                                                   // Save last deviation
    return OutPut;     
}

Program flow chart

Briefly introduce the process of function implementation:

image-20240904175810993

xxxxxxxxxx
The 72° (right side) of the radar is to detect and maintain the distance from the wall. If you encounter an obstacle in front, you only need to turn left

Experimental phenomenon

Software code

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

xxxxxxxxxx
Product supporting information source code path: Attachment → Source code summary → 5.Balanced_Car_Extended → 17.Balance_Radar_wall_line

Experimental phenomenon

After the program is started, press KEY1 according to the OLED prompt to start the radar wall-following function of the balance car:

OLED displays wait get dis!: The balance car will take 1 second to obtain the distance that the radar needs to patrol the wall (the right side of the radar needs to be close to the wall, and the source of the patrol distance is the 72° position of the radar); OLED displays start track!: Start the radar wall-following mode.

If an obstacle is encountered during the patrol process, it will turn left; after turning left, it will resume the wall-following mode.

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 in which the voltage alarm is triggered:
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
Lidar wall tracking-straight line
DIY Automatic driving car

COMPANY

  • About us
  • Team Style
  • Blog

LEARNING & EXPLORATION

  • Tutorials
  • Edge AI hardware
  • Educational robots
  • Embedded intelligent hardware

WHERE TO BUY

  • Yahboom Online Store
  • Amazon
  • Alibaba
  • AliExpress
  • Mercado

TECHNOLOGY SUPPORT

  • Email: support@yahboom.com

BE A DISTRIBUTOR

  • Email: sales@yahboom.com
QR Code

Copyright © 2017-2026 Yahboom. All Rights Reserved.

EN/中文