yahboom
HomeLearn
Solution
Blog
Online Store
About Us
EN/中文
MicroROS Self-balancing Robot Car📖
01.Introduction
  • 0.Unboxing and Reviewing
  • 1. Must read before use - learning route
  • 2. Introduction to LiDAR
  • 3. Balance car interface description
  • 4. Analysis of common problems
  • 5. Robot charging and battery precautions
02.Assembly tutorial
  • Robot assembly steps
03.Preparation
  • 0.Quick Start (Must Read)
  • 1.Write firmware
  • 2.How to install and use VM
  • 3.ESP32 communication board configuration parameters
  • 4.Connect to microROS agent
04.ROS-WiFi module configuration
  • 0.Serial port configuration WiFi instructions
  • 1.Use ROS-WiFi cam module(must read)
  • 2.Connect to ROS-WiFi cam module agent
  • 3.Camera image correction (optional)
05.Quick start control
  • 1.Keyboard remote control
  • 2.Handle remote control
06.ROS+OpenCV course
  • 1.OpenCV Getting started
  • 2.Geometric transformation
  • 3.Image processing and drawing text line segments
  • 4.Image beautification
07.Mediapipe course
  • 1. Hand detection
  • 2. Posture detection
  • 3. Overall inspection
  • 4. Face detection
  • 5. Face recognition
  • 6. Facial effects
  • 7. 3D object recognition
  • 8. Brush
  • 9. Finger control
  • 10. Gesture recognition
08.Robot basic course
  • 1.Robot information release
  • 2.Robot keyboard control
  • 3.Robot handle control
  • 4.Robot state estimation
  • 5.Line speed calibration
  • 6.Angular velocity calibration
  • 7.Robot URDF model
09.Lidar course
  • 1.Lidar avoid
  • 2.Lidar following
  • 3.Lidar guard
  • 5.Gmapping mapping
  • 6.Cartographer mapping
  • 7.Navigation2 navigation avoid
  • 8.Navigation2 fast relocation navigation
  • 9.ROS Robot APP mapping
  • 10.ROS Robot APP navigation
10.Robot visual interaction
  • 1.Color tracking
  • 2.Object recognition and tracking
  • 3.Face recognition tracking
  • 4.Autonomous driving line patrol
  • 5.QR code motion control
  • 6.Gesture control car movement
  • 7.Palm control car movement
  • 8.Gesture control car action group
  • 9.Palm recognition and tracking
  • 10.Human body posture recognition and tracking
11.Multi-machine course
  • 1.Multi-machine handle control
  • 2.Multi-machine keyboard control
  • 3.Multi-machine navigation
  • 4.Multi-machine rapid relocation navigation
12.STM32 balancing case
01.Environment construction and development
  • 13.Window Watchdog (WWDG)
  • 01.MDK-ARM installation
  • 02.STM32CubeIDE installation
  • 03.Common driver installation
  • 04.Download the program
  • 05.MDK-ARM project usage
  • 06.Program simulation
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)
  • 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)
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.Radar obstacle avoidance
  • 07.Radar guard
  • 08.Radar follow
  • 09.Radar patrol
  • 10.Radar wall following go in a straight line
  • 11.Radar tracking wall multiple walls
06.Robot car LQR control
  • Balance car LQR high-level control
07.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
08.Mathematical model
  • Balance car mathematical model
13.Linux basic course
  • 1.Introduction to Linux system
  • 2.Ubuntu file system
  • 3.Ubuntu common commands
  • 4.Ubuntu common editors
  • 5.Ubuntu software operation commands
  • 6.Virtual machine installation
  • 7.SSH remote control
  • 8.VNC remote control
  • 9.Transfer files remotely
  • 10.Driver library and communication
  • 11.Static IP and hotspot mode
  • 12.Bind device ID
  • 13.Capacity expansion and resource allocation
  • 14.Update system software sources
  • 15.Set root user password
  • 16.sudo free password
  • 17.Connect to WiFi network
  • 18.View system version
  • 19.Customized service management
  • 20.Back up system image
14.Docker course
  • 1. Overview and installation
  • 2. Common commands
  • 3. Docker images deeply understand and publish images
  • 4. Docker hardware interaction and data processing
  • 5. Enter the bot's docker container
15.ROS2 basic course
  • 1.Introduction to ROS2
  • 2.ROS2 install Humble
  • 3.ROS2 development environment
  • 4.ROS2 workspace
  • 5.ROS2 function package
  • 6.ROS2 node
  • 7.ROS2 topic communication
  • 8.ROS2 service communication
  • 9.ROS2 action communication
  • 10.ROS2 custom interface message
  • 11.ROS2 parameter service case
  • 12.ROS2 meta-function package
  • 13.ROS2 distributed communication
  • 14.ROS2 DDS
  • 15.ROS2 time related API
  • 16.ROS2 common command tools
  • 17.ROS2 rviz2 use
  • 18.ROS2 rqt toolbox
  • 19.ROS2 Launch startup file configuration
  • 20.ROS2 recording and playback tool
  • 21.ROS2 URDF model
  • 22.ROS2 Gazebo simulation platform
  • 23.ROS2 TF2 coordinate transformation
Download
  • RemoteCtrl_APP(Android)
  • Mapping_APP(iOS_Android)
  • Code
  • Hardware Information
  • software tools
  • 3D model file
  • Instruction manual
  • VM image file
  • ROS2_Basic_VM
Download ZIP

Welcome to MicroROS Self-balancing Robot Car repository

13.Window Watchdog (WWDG)

Window Watchdog (WWDG)

Window Watchdog (WWDG)Hardware connectionControl principleSoftware ConfigurationSoftware CodeControl FunctionExperimental phenomenon

The tutorial combines LED, buzzer, and KEY to demonstrate the hardware fault detection function of the window watchdog (WWDG).

Hardware connection

image-20240825210433047

PeripheralsDevelopment boardDescription
LEDPB3The anode of the LED is connected to the development board PB3, and the cathode is connected to the development board GND
KEY1PA8One end of the KEY is connected to the PA8 pin, and the other end is connected to GND
Buzzer (active buzzer)PA11 

Control principle

The STM32F103RCT6 has two built-in watchdogs (independent watchdog and window watchdog), which are mainly used for system fault detection and recovery.

WatchdogFunction
Independent WatchdogUsed to detect whether the system is running normally
Window WatchdogUsed to detect system failures
  • Window Watchdog

The window watchdog (WWDG) is driven by the clock obtained by dividing the APB1 clock. It detects abnormal late or early operations of the application by configuring the time window.

Window WatchdogStatus
Feed the watchdog when the count value > window upper limitReset
Feed the watchdog when the window upper limit > count value > window lower limitDo not reset
Count value < window lower limitReset
The main function of the window watchdog is to monitor the working status of the system and prevent deadlock or infinite loop caused by software errors or unexpected events
  • Independent watchdog feature

  • Free-running down counter

  • Conditional reset

  • A reset is generated when the down counter is reloaded outside the window

  • A reset is generated when the down counter value is less than 0x40

  • If the watchdog is enabled and interrupts are enabled

  • When the down counter is equal to 0x40, an early wake-up interrupt (EWI) is generated to reload the counter to avoid WWDG reset

image-20240903164619741

  • Window watchdog timeout: PCLK1=36MHz

image-20240903164635243

WDGBMinimum timeoutMaximum timeout
0113us7.28ms
1227us14.56ms
xxxxxxxxxx
The frequency division number set in the tutorial is 8, the window value is 43, and the count value is 54
TWWDG(ms)=TPCLK1∗4096∗2WDGTB∗(T[5:0]+1)

TWWDG: WWDG timeout time

TPCLK1: APB1 time interval in ms

Example: Counter minus 1 time (PCLK1=36MHz, frequency division number is 8)

TWWDG(ms)=TPCLK1∗4096∗2WDGTB∗(T[5:0]+1)=136000∗4096∗23∗(1)=0.910ms

Software Configuration

Software Code

Configure the Window Watchdog (WWDG) hardware fault detection function, no need to configure specific pins.

xxxxxxxxxx
Product supporting materials source code path: Attachment → Source Code Summary → 1.Base_Course → 13.WWDG

Control Function

The tutorial only briefly introduces the code, you can open the project source code to read it.

IWDG_Start

xxxxxxxxxx
void WWDG_Start(void)
{
    RCC_APB1PeriphClockCmd(RCC_APB1Periph_WWDG, ENABLE);
    WWDG_SetPrescaler(WWDG_Prescaler_8);
    WWDG_SetWindowValue(43|0x40);
    WWDG_Enable(54|0x40);
}

Experimental phenomenon

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

After the program is downloaded successfully: Pressing KEY1 will trigger the dog not to be fed (equivalent to reset: LED turns off, buzzer beeps, serial port prints WWDG start!), if KEY1 is not pressed, the dog will be fed continuously (LED is always on)

xxxxxxxxxx
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-20240827180158601

Multi-machine rapid relocation navigation
MDK-ARM installation

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