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520 Motor📖
1.About motor
  • About motor
2.ROS robot control board drive
  • 2.1 Control motor
  • 2.2 Timer captures encoder data
  • 2.3 PID control robot car
  • 2.4 Kinematic Analysis-Mecanum wheel structure
  • 2.5 Kinematic Analysis-Ackerman structure
  • 2.6 Kinematic Analysis-4WD structure
3.STM32 Self-balancing car tutorials
Get started quickly
  • 03.P, PI, PD controller theory
  • 01.Balancing car assembly
  • 02.Get started quicklyy
  • 03.Balance car interface description
  • 04.Common Problem Analysis
  • 05.Balance Car V2 Library Function Development Manual
Environment construction and development
  • 01.MDK-ARM installation
  • 02.STM32CubeIDE installation
  • 03.Common driver installation
  • 04.Download the program
  • 05.MDK-ARM project usage
  • 06.Program simulation
Robot car PID control course
  • 01.PID basic concept
  • 02.PID example analysis
  • 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)
Robot car basic course
  • 01.Car parameter adjustment
  • 02.Ultrasonic obstacle avoidance
  • 03.Ultrasonic follow
  • 04.Bluetooth remote control
  • 05.Load balance
Robot car LQR control
  • Robot car LQR control
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
Mathematical model
  • Balance car mathematical model
4.4-channel motor drive module
Introduction and Debug
  • 1.Introduction to 4-channel motor drive board
  • 2.Control command
  • 3.Motor introduction and usage
  • 4.PC host
IIC communication
  • For Arduino
  • For ESP32
  • For Jetson NANO
  • For MSPM0G3507
  • For MSPM0G3519new
  • For PICO2
  • For RDK X5
  • For RPi5
  • For STM32
USART communication
  • For Arduino
  • For ESP32
  • For Jetson NANO
  • For MSPM0G3507
  • For MSPM0G3519new
  • For PICO2
  • For RDK X5
  • For RPi5
  • For STM32
5.2-channel motor drive module
For MSPM0G3507
  • 1.AT8236 drive tutorials
  • 2.TB6612 drive tutorials
For MSPM0G3519
  • 1.AT8236 drive tutorialsnew
  • 2.TB6612 drive tutorialsnew
Download
  • Model File
  • Annex_ROS_robot_board
  • Annex_STM32_balancing_car
  • Annex_4channel_motor_drive
  • Annex_2channel_motor_drive
Download ZIP

Welcome to 520 Motor repository

10.Car steering control (PD)

Car steering control (PD)

Car steering control (PD)Steering principlePD controllerImplementation codeSoftware code

The tutorial mainly introduces the steering control of the balancing car.

Steering principle

The steering control can be achieved by the different speeds (speed difference) of the left and right motors of the balancing car.

PD controller

The main function of differential (D) control in PID control is to reduce the dynamic error and oscillation of the system, and the main function of integral (I) control is to eliminate static errors.

Since the car itself is equipped with heavy objects such as batteries and has a large moment of inertia, the car will overshoot during the adjustment process. If it is not suppressed, the car will over-steer and fall down; in order to eliminate the overshoot in the direction control of the car, it is necessary to add differential control.

Implementation code

​x
int Turn_PD(float gyro)
{
static float Turn_Target,turn_PWM;
float Kp=Turn_Kp,Kd; //To change the steering speed, please change Turn_Amplitude

Turn_Target=0;
Kd=Turn_Kd;

//==============================================//
turn_PWM=Turn_Target*Kp/100+gyro*Kd/100+Move_Z; //PD control combined with Z-axis gyroscope

return turn_PWM; //Steering ring PWM is positive for right turn and negative for left turn
}

Software code

Basic PID control of balancing car: 08-13 tutorial only provides one project file.

Product supporting materials source code path: Attachment → Source code summary → 3.PID_Course → 08-13.Balanced_Car_PID
Car speed ​​control (PI)
Got angle and angular velocity (DMP algorithm)

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