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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

04.Position PID

Position PID

Position PIDPosition discrete PID formulaDifference between position/incremental PIDCode implementationSoftware codeExperimental phenomenon

Position PID control compares the difference between the actual output and the expected output, and adjusts the control output according to the size of the error.

Position discrete PID formula

Uk=Kp∗e(k)+Ki∗∑e(k)+Kd[e(k)−e(k−1)]
  • Uk: output

  • e(k): current deviation

  • e(k-1): last deviation

  • Kp: proportional term parameter

  • Ki: integral term parameter

  • Kd: differential term parameter

∑e(k):thecumulativesumofe(k)deviation

Difference between position/incremental PID

Position PID

Position PID calculates the current deviation value (difference between target value and actual value), integral value (sum of past errors) and differential value (error change rate), and then adds these three parts to obtain the PID output.

Incremental PID

Incremental PID obtains the PID output increment by calculating the change in the difference between the current error and the previous error.

​x
Positional PID requires accumulation of integral terms, which is suitable for situations where the system has high requirements for steady-state error.

Incremental PID does not require accumulation of integral terms, which is suitable for situations where the system has high requirements for response speed.

Code implementation

Positional PID is position closed-loop control. Position closed-loop control is to measure the position information of the motor based on the pulse accumulation of the encoder, and compare it with the target value to obtain a deviation. Then we control the deviation proportionally, integrally, and differentially to make the deviation approach 0.

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int Position_PID (int position,int target)
{
static float error,Pwm,Integral_error,Last_error;
error=target-position; // Calculate deviation
Integral_error+=error; // Calculate the integral of the deviation
if(Integral_error>1000)Integral_error=1000;
if(Integral_error<-1000)Integral_error=-1000;

Pwm=Position_KP*error+Position_KI*Integral_error+Position_KD*(error-Last_error); // Position PID controller

Last_error=error; // Save the last deviation
return Pwm; // Incremental output
}

Software code

Since the relevant peripheral driver tutorial has been introduced before, it will not be introduced here!

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Source code path of product supporting materials: Attachment → Source code summary → 3.PID_Course → 04.Position_PID

Experimental phenomenon

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

After the program is successfully downloaded: the motor will rotate to the vicinity of the preset encoder count value, the serial port will print the button status and the motor encoder value (corresponding to the distance the motor rotates), and the button can switch the LED status and control the motor to run to the set pulse position and stop.

Note: Since each motor is different, the value printed by the serial port may be a little different from the value set by the program; we can modify the Kp, Ki, and Kd parameters in the program to make the encoding value as close to the value set by the program as possible.

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When using the serial port debugging assistant, you need to pay attention to the serial port settings. If the settings are wrong, the phenomenon may be inconsistent.

image-20240812151006363

PID example analysis
Incremental PID

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