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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

2.6 Kinematic Analysis-4WD structure

Kinematic Analysis-4WD structure

Kinematic Analysis-4WD structure1. Precondition2. Establish kinematic model3. Kinematic analysis

1. Precondition

This section will analyze the kinematics equation of four-wheel drive vehicle from the aspect of four-wheel drive vehicle kinematics. Due to the structural error of the real vehicle, there will be resistance, friction and other factors in the process of movement, which is more complex. For simplicity, the analysis is only limited to the four-wheel drive vehicle in the ideal state.

 

2. Establish kinematic model

The 4WD car is abstracted into the following model, where W represents the distance between the left and right motor center points; L represents the interval between the front and rear motor center points; Motors M1, M2, M3 and M4 refer to the four driving motors of the trolley; V represents the linear speed of the trolley (forward and backward speed), ω Indicates the angular speed (rotation speed) of the car.

Ideally, by controlling the linear velocity V and angular velocity ω, It is converted to control four motors to control the movement of the 4WD car.

image-20221114174200854

3. Kinematic analysis

Let V~m1~, V~m2~, V~m3~, V~m4~be the speed values of motors M1, M2, M3 and M4, that is, the rotational speed of wheels, V~x~be the linear speed of the car, V~x~be positive for forward, V~x~be negative for backward, V~z~be the angular speed of the car, V~be positive for left, V~be negative for right, A is half of the distance W between the center points of the left and right motors of the car, A=$ frac {W} {2} $, B is half of the distance L between the center points of the front and rear motors of the car, B=$ frac {L} {2} $.

When the car moves forward or backward.

V~m1~=V~x~

V~m2~=V~x~

V~m3~=V~x~

V~m4~=V~x~

 

When the trolley rotates around the geometric center point.

V~m1~=-V~z~*(A+B)

V~m2~=-V~z~*(A+B)

V~m3~=V~z~*(A+B)

V~m4~=V~z~*(A+B)

 

According to the above formula, we can get.

V~m1~=V~x~-V~z~*(A+B)

V~m2~=V~x~-V~z~*(A+B)

V~m3~=V~x~+V~z~*(A+B)

V~m4~=V~x~+V~z~*(A+B)

 

Kinematic Analysis-Ackerman structure
P, PI, PD controller theory

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