Based on ESP32-S3 self-balancing scooter TB6612

Project Name: ESP32S3 Balance Car Project Objectives: Design and implement a balance car that can automatically maintain its balance. Learn ESP32S3 programming and application. Master PID control algorithms and sensor usage. Project Features: Self-balancing: The car can automatically detect and adjust its posture to maintain balance. Flexibility: By adjusting PID parameters, it can adapt to different environments and ground surfaces. Programmable: Programmed using the ESP32S3, it has powerful processing capabilities and rich peripheral interfaces. Expandability: More sensors and functions can be added as needed, such as Bluetooth control, obstacle detection, etc. Core Components: 1. ESP32S3: As the main controller, responsible for processing sensor data and controlling the motors. 2. MPU6050: Accelerometer and gyroscope, used to detect changes in the car's posture. 3. Motor driver: Such as TB6612, used to control the motor's speed and direction. 4. Motor: N20 DC geared motor with encoder, used to drive the car. 5. Power supply: Lithium battery, providing power to the car. Technical Highlights: 1. Sensor Data Reading: Read data from the MPU6050 via the I2C interface. 2. Motor Control: Control the motor speed and direction via PWM signals. 3. PID Control Algorithm: Achieve balance control of the vehicle. 4. Program Debugging: Debug the program via serial port or Bluetooth to optimize PID parameters. Development Tools: ESP-IDF: Espressif's official development framework for programming the ESP32S3. Arduino IDE: Also used for ESP32S3 programming, with rich library support. Implementation Steps: 1. Hardware Assembly: Solder and assemble the various parts of the vehicle. 2. Software Programming: Write code to implement data reading, motor control, and PID control. 3. Debugging and Optimization: Adjust PID parameters using debugging tools to optimize the vehicle's balance performance. Expected Outcome: An ESP32S3 balancing vehicle that can automatically maintain balance. In-depth understanding of ESP32S3 programming and sensor usage. Mastery of PID control algorithm implementation and application. Through this project, you will be able to combine theoretical knowledge with practice, improving your electronic design and programming skills.