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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.MPU6050 Circuit Design

MPU6050 Circuit Design

MPU6050 Circuit DesignBasic functionsMPU6050 circuit

The attitude sensor integrates a three-axis gyroscope, a three-axis accelerometer, a temperature sensor, and a built-in digital motion processor DMP.

Basic functions

Three-axis gyroscope: can measure the angular velocity around the X, Y, and Z axes, and is used to detect the rotation and turning motion of an object; Three-axis accelerometer: can measure the acceleration in the X, Y, and Z axes, including the acceleration of gravity and the linear acceleration of the object; Temperature sensor: MPU6050 also integrates a temperature sensor to measure the temperature of the environment.

DMP is the motion engine inside the MPU6050, the full name of which is Digital Motion Processor. It directly outputs quaternions, which can reduce the workload of the peripheral microprocessor and avoid cumbersome filtering and data fusion

MPU6050 circuit

The development board presets the MPU6050 installation interface to facilitate users to install and replace modules.

MPU6050 uses IIC for communication, SDA and SCL are pulled up to VCC using pull-up resistors, and the master responds to data updates in real time based on the INT pin.

image-20240822182755555

Power circuit design
Motor drive circuit design

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