The main function is to set a certain route for the inspection vehicle through the host computer (the host computer gives coordinate points), and the inspection vehicle can inspect according to the prescribed path.
It has been verified that it communicates with the arduino microcontroller through the serial port (USB, Bluetooth, etc.), and then the microcontroller controls the servo on the robotic arm to control the robotic arm to perform responsive movements.
The flight control source code of the Wolf quadcopter has been verified and can be found on Taobao. It flies normally and is based on the AVR microcontroller, which is very helpful for flight control research.
It is a good learning material for students studying microcontrollers and smart cars.
Mini quadcopter flight control source code program, if you are interested, you can take a look.
Frank robot automatically palletizes packaging bags
The design uses an Arduino microcontroller as the main control chip to achieve distance measurement and display, and can intelligently avoid obstacles. The operating status of the car can be controlled through the remote control. Its structure is simple, easy to implement, the overall design is reasonable, the work is stable, the performance is good, and the detection Fast speed and easy to achieve real-time control are the design concepts of mainstream intelligent information fusion technology. It has powerful functions, modular design, strong portability, low power, and has a wide range of application fields and development prospects.
Contains the design principles of four-wing aircraft
Foreign quadcopter codes
It must be 10 points. This is the result of my three months. It is a program for competition. You can download it. If you don’t understand, you can ask.
Smart car Smart car based on 51 microcontroller (tracking, obstacle avoidance, remote control, ranging, voltage detection)
Speech recognition + robot + ultrasonic ranging comprehensive application solution
Freescale smart car smart car source code photoelectric group (with comments)
2012 Heilongjiang Province Electronic Design and Production Competition Intelligent Fire Fighting Car Program
Common robotic arm controls are developed from CNC, emphasizing constant speed and stability in the motion process. Many controllers use hybrid PID for speed control, which generates great acceleration during the startup phase in order to quickly reach the set speed. Due to the solid state of the solid itself Stiffness, this drastic speed change is very effective for CNC machining scenarios or general solid handling scenarios. However, it will have a huge impact in liquid handling scenarios, so new control methods need to be proposed. This control method must control the acceleration
This project uses LSM6DSOX high-performance sensor and LIS25BA high-precision bone conduction sensor to control the four-axis robotic arm. By combining FMS and MLC with LSM6DSOX, the robotic arm can grab and put down items. Through LIS25BA, the vibration can be recognized and the steering gear can be controlled to complete the corresponding actions.