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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.Load balance

Load balance

Load balanceLoad balancing principleSoftware implementation principleParameter adjustment stepsProgram flow chartExperimental phenomenon

The tutorial mainly adds the function of load balancing based on Bluetooth remote control.

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The tutorial only introduces the standard library project code

Load balancing principle

The load actually changes the original balance state of the balance car, and the balance car parameters need to be readjusted.

Software implementation principle

  • Balance mode switching

Control the load and non-load balance mode switching through buttons.

  • PID parameter switching

By setting the load mode flag bit, determine whether the final output data of the upright ring, speed ring, and steering ring needs to be multiplied by the load balance coefficient.

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Example:
int Balance_PD(float Angle,float Gyro)
{
float Angle_bias,Gyro_bias;
int balance;
Angle_bias=Mid_Angle-Angle;
Gyro_bias=0-Gyro;
balance=-Balance_Kp/100*Angle_bias-Gyro_bias*Balance_Kd/100;
if(weight_mode_flag == 1) // Load mode switch
{
balance = balance*Balance_K;
}
return balance;
}

Parameter adjustment steps

The program needs to switch to the corresponding balance mode before it can adjust the parameters:

  1. First adjust the PID parameters of the non-load balance state: For specific parameter adjustment methods, refer to the "Balance Car Parameter Adjustment" tutorial in this chapter

Note: The parameters for debugging the non-load balance state are PID parameters, not PID parameter coefficients.

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PID parameters are located in the source code: pid_control.c
Code example:
// Non-adjustment area: PID parameter coefficients
float Balance_K = 2.0;
float Velocity_K = 1.35;
float Turn_K = 1.0;

// Adjustment area: PID parameters
// Vertical ring PD control parameters
float Balance_Kp = 9600;
float Balance_Kd = 75;

// Speed ring PI control parameters
float Velocity_Kp=7000;
float Velocity_Ki=35;

// Turning ring PD control parameters
float Turn_Kp=1400;
float Turn_Kd=30;
  1. Debug the normal Bluetooth control in the non-load balancing state

  2. Debug the PID parameter coefficient of the load balancing state: For specific parameter adjustment methods, refer to the "Balance Car Parameter Adjustment" tutorial in this chapter

Note: The parameter for debugging the load balancing state is the PID parameter coefficient, not the PID parameter.

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PID parameters are located in the source code: pid_control.c
Code example:
// Adjustment area: PID parameter coefficients
float Balance_K = 2.0;
float Velocity_K = 1.35;
float Turn_K = 1.0;

// Non-adjustment area: PID parameters
// Vertical ring PD control parameters
float Balance_Kp = 9600;
float Balance_Kd = 75;

// Speed ring PI control parameters
float Velocity_Kp=7000;
float Velocity_Ki=35;

// Turning ring PD control parameters
float Turn_Kp=1400;
float Turn_Kd=30;

Program flow chart

Briefly introduce the process of function implementation:

image-20240902174816684

Experimental phenomenon

Software code

The weight_control.hex file generated by the project compilation is located in the OBJ folder of the weight_control project. Find the weight_control.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 information source code path: Attachment → Source code summary → 4.Balanced_Car_base → 05.weight_control

Experimental phenomenon

After the program is started, press the KEY1 button according to the OLED prompt to start the balance car Bluetooth control function: OLED will display the balance car load mode and balance car inclination in real time!

KEY1 button: In this program, you can start the balance car Bluetooth control function and control the switch of the balance car load mode.

There will be a buzzer prompt sound when switching to load mode.

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 alarm:

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
Bluetooth remote control
4-channel tracking

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